TORU HIGAKI

Last Updated :2026/06/14

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Associate Professor
Web Site
http://vis.hiroshima-u.ac.jp/
Self-introduction
My speciality is image engineering, especially medical image processing is my main research topic.

Basic Information

Academic Degrees

  • Doctor of Engineering, Hiroshima University
  • Master of Engineering, Hiroshima University

Research Fields

  • Complex systems;Biomedical engineering;Medical systems

Research Keywords

  • Medical image processing

Educational Activity

Course in Charge

  1. 2026, Graduate Education (Doctoral Program) , 4Term, Pattern Recognition and Machine Learning
  2. 2026, Undergraduate Education, 2Term, Image Processing
  3. 2026, Undergraduate Education, 1Term, Informatics and Data Science Exercise I
  4. 2026, Undergraduate Education, Intensive, Long-term Fieldwork II
  5. 2026, Undergraduate Education, 1Term, Intelligence Science Seminar I
  6. 2026, Undergraduate Education, 2Term, Intelligence Science Seminar II
  7. 2026, Undergraduate Education, Second Semester, Graduation Thesis
  8. 2026, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
  9. 2026, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
  10. 2026, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
  11. 2026, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
  12. 2026, Graduate Education (Master's Program) , Year, Special Study on Informatics and Data Science
  13. 2026, Graduate Education (Master's Program) , 1Term, Image Analysis and Synthesis Technology
  14. 2026, Graduate Education (Master's Program) , Intensive, Special Lecture on Informatics and Data Science A
  15. 2026, Graduate Education (Doctoral Program) , Year, Special Study on Informatics and Data Science
  16. 2026, Undergraduate Education, First Semester, International Co-creation Workshop

Research Activities

Academic Papers

  1. Effect of the Second-generation Motion Correction Algorithm on Coronary Artery Calcium Scoring, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 50(2), 202-207, 2026
    Link to Paper Search Results by DOI
  2. Artificial intelligence software to detect small hepatic lesions on hepatobiliary-phase images using multiscale sampling, JAPANESE JOURNAL OF RADIOLOGY, 44(1), 116-125, 202601
    Link to Paper Search Results by DOI
  3. Single-Energy, Dual-Energy, and Photon-Counting Computed Tomography of the Liver: Current Development and Clinical Utility for the Assessment of Focal Liver Lesions, INVESTIGATIVE RADIOLOGY, 61(3), 175-184, 202603
    Link to Paper Search Results by DOI
  4. Reference-Free Evaluation Metric for Fine-Grained 3D Shape Editing, APPLIED SCIENCES-BASEL, 15(24), 20251210
    Link to Paper Search Results by DOI
  5. The ASC Module: A GPU Memory-Efficient, Physiology-Aware Approach for Improving Segmentation Accuracy on Poorly Contrast-Enhanced CT Scans-A Preliminary Study, BIOENGINEERING-BASEL, 12(9), 20250912
    Link to Paper Search Results by DOI
  6. Fine-grained 3D vehicle shape manipulation via latent space editing, MACHINE VISION AND APPLICATIONS, 36(6), 20250908
    Link to Paper Search Results by DOI
  7. Effectiveness of a virtual reality-based interventional radiology simulator for medical student education, JAPANESE JOURNAL OF RADIOLOGY, 43(8), 1386-1392, 202508
    Link to Paper Search Results by DOI
  8. Intracellular enhancement technique for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging: evaluation of hepatic function, ABDOMINAL RADIOLOGY, 50(8), 3506-3515, 202508
    Link to Paper Search Results by DOI
  9. Real-Time Intuitive Interaction and Realistic Illumination for CT Volume Rendering., IIEEJ Transactions on Image Electronics and Visual Computing, 12(1): 32-39, 2024., 2024
  10. External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in Japan, JAPANESE JOURNAL OF RADIOLOGY, 43(4), 634-640, 202504
    Link to Paper Search Results by DOI
  11. Utility of under-sampled scans with iterative reconstruction and high-frequency preserving transform for high spatial resolution magnetic resonance cholangiopancreatography, JAPANESE JOURNAL OF RADIOLOGY, 43(3), 463-471, 202503
    Link to Paper Search Results by DOI
  12. Nature of the Intracellular-contrast-enhancing Fat-saturated T1-weighted Gradient-echo (ICE-TIGRE) Sequence: A Fat-suppressed T1-weighted Technique with Motion-sensitised Driven-equilibrium for Improved Contrast Enhancement in Liver Imaging, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 24(1), 133-143, 2025
    Link to Paper Search Results by DOI
  13. Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CT, ACTA RADIOLOGICA, 65(12), 1569-1575, 202412
    Link to Paper Search Results by DOI
  14. Using Patient-Specific Contrast Enhancement Optimizer Simulation Software During the Transcatheter Aortic Valve Implantation-Computed Tomography Angiography in Patients With Aortic Stenosis, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 48(5), 759-762, 2024
    Link to Paper Search Results by DOI
  15. Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study, EUROPEAN JOURNAL OF RADIOLOGY OPEN, 12, 202406
    Link to Paper Search Results by DOI
  16. Fast detection of bag-breakups in pulsating and steady airflow using video analysis and deep learning, JOURNAL OF REAL-TIME IMAGE PROCESSING, 20(6), 202312
    Link to Paper Search Results by DOI
  17. Improvement of Spatial Resolution on Coronary CT Angiography by Using Super-Resolution Deep Learning Reconstruction, ACADEMIC RADIOLOGY, 30(11), 2497-2504, 202311
    Link to Paper Search Results by DOI
  18. Reversible Brain Atrophy in Cryptogenic New-onset Refractory Status Epilepticus, INTERNAL MEDICINE, 62(12), 1835-1842, 2023
    Link to Paper Search Results by DOI
  19. Iodine maps derived from sparse-view kV-switching dual-energy CT equipped with a deep learning reconstruction for diagnosis of hepatocellular carcinoma, SCIENTIFIC REPORTS, 13(1), 20230303
    Link to Paper Search Results by DOI
  20. Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT, SCIENTIFIC REPORTS, 13(1), 20230303
    Link to Paper Search Results by DOI
  21. Deep Learning-based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic Metastases, RADIOLOGY-ARTIFICIAL INTELLIGENCE, 1(6), 201911
    Link to Paper Search Results by DOI
  22. Spectral Super-Resolution for High Dynamic Range Images, JOURNAL OF IMAGING, 9(4), 202304
    Link to Paper Search Results by DOI
  23. Acquiring Spectral Scattering Properties of Seawater from an RGB Image, Proc. 2023 International Workshop on Advanced Image Technology (IWAIT 2023), 20230109
  24. Reproduction of Color Vision Deficiency Considering Spectrum, Proc. 2023 International Workshop on Advanced Image Technology (IWAIT 2023), 20230109
  25. Utility of Wavelet Denoising with Geometry Factor Weighting for Gadoxetic Acid-enhanced Hepatobiliary-phase MR Imaging, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 22(2), 241-252, 2023
    Link to Paper Search Results by DOI
  26. An introduction to photon-counting detector CT (PCD CT) for radiologists, JAPANESE JOURNAL OF RADIOLOGY, 41(3), 266-282, 202303
    Link to Paper Search Results by DOI
  27. Performance of Ultra-High-Resolution Computed Tomography in Super High-Resolution Mode at the Routine Radiation Dose: Phantom Study, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 46(6), 900-905, 2022
    Link to Paper Search Results by DOI
  28. Usefulness of the patient-specific contrast enhancement optimizer simulation software during the whole-body computed tomography angiography, HEART AND VESSELS, 37(8), 1446-1452, 202208
    Link to Paper Search Results by DOI
  29. Dual-energy CT: minimal essentials for radiologists, JAPANESE JOURNAL OF RADIOLOGY, 40(6), 547-559, 202206
    Link to Paper Search Results by DOI
  30. Utility of Radial Scanning for the Identification of Arterial Hypervascularity of Hepatocellular Carcinoma on Gadoxetic Acid-Enhanced Magnetic Resonance Images, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 45(3), 359-366, 2021
    Link to Paper Search Results by DOI
  31. Prediction of Aortic Contrast Enhancement on Dynamic Hepatic Computed Tomography-Performance Comparison of Machine Learning Methods and Simulation Software, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 46(2), 183-189, 2022
    Link to Paper Search Results by DOI
  32. Re-evaluation of detectability of liver metastases by contrast-enhanced CT: added value of hepatic arterial phase imaging, JAPANESE JOURNAL OF RADIOLOGY, 32(8), 467-475, 201408
    Link to Paper Search Results by DOI
  33. Measurement of Electron Density and Effective Atomic Number by Dual-Energy Scan Using a 320-Detector Computed Tomography Scanner with Raw Data-Based Analysis: A Phantom Study, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 38(6), 824-827, 2014
  34. A new technique for noise reduction at coronary CT angiography with multi-phase data-averaging and non-rigid image registration, EUROPEAN RADIOLOGY, 25(1), 41-48, 201501
    Link to Paper Search Results by DOI
  35. Radiation dose reduction for coronary artery calcium scoring at 320-detector CT with adaptive iterative dose reduction 3D, INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 31(5), 1045-1052, 201506
    Link to Paper Search Results by DOI
  36. Clinical utility of gadoxetate disodium-enhanced hepatic MRI for stereotactic body radiotherapy of hepatocellular carcinoma, JAPANESE JOURNAL OF RADIOLOGY, 33(10), 627-635, 201510
    Link to Paper Search Results by DOI
  37. Cerebral blood flow in transient hypothyroidism after thyroidectomy: Arterial spin labeling magnetic resonance study, NEUROENDOCRINOLOGY LETTERS, 36(6), 545-551, 2015
  38. Changes in the regional cerebral blood flow detected by arterial spin labeling after 6-week escitalopram treatment for major depressive disorder, JOURNAL OF AFFECTIVE DISORDERS, 194, 135-143, 201604
    Link to Paper Search Results by DOI
  39. Effect of the Motion Correction Technique on Image Quality at 320-Detector Computed Tomography Coronary Angiography in Patients With Atrial Fibrillation, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 40(4), 603-608, 2016
    Link to Paper Search Results by DOI
  40. Additional Value of Diffusion-weighted MRI to Gd-EOB-DTPA-enhanced Hepatic MRI for the Detection of liver Metastasis:the Difference Depending on the Experience of the Radiologists., Hiroshima Journal of Medical Sciences, 64, 15-21, 2015
  41. Diagnostic Performance of Positron Emission Tomography for the Presurgical Evaluation of Patients with Non-lesional Intractable Partial Epilepsy: Comparison among 18F-FDG, 11C-Flumazenil, and 11C-Flumazenil Binding Potential Imaging Using Statistical Imaging Analysis., Hiroshima Journal of Medical Sciences., 64, 51-57, 2015
  42. Coronary CT angiography in patients with implanted cardiac devices: initial experience with the metal artefact reduction technique, BRITISH JOURNAL OF RADIOLOGY, 89(1067), 2016
    Link to Paper Search Results by DOI
  43. Effects of Iterative Reconstruction Algorithms on Computer-assisted Detection (CAD) Software for Lung Nodules in Ultra-low-dose CT for Lung Cancer Screening, ACADEMIC RADIOLOGY, 24(2), 124-130, 201702
    Link to Paper Search Results by DOI
  44. Sarcopenia is closely associated with pancreatic exocrine insufficiency in patients with pancreatic disease, PANCREATOLOGY, 17(1), 70-75, 2017
    Link to Paper Search Results by DOI
  45. Aortic and Hepatic Contrast Enhancement During Hepatic-Arterial and Portal Venous Phase Computed Tomography Scanning: Multivariate Linear Regression Analysis Using Age, Sex, Total Body Weight, Height, and Cardiac Output, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 41(2), 309-314, 2017
    Link to Paper Search Results by DOI
  46. Lung cancer screening with ultra-low dose CT using full iterative reconstruction, JAPANESE JOURNAL OF RADIOLOGY, 35(4), 179-189, 201704
    Link to Paper Search Results by DOI
  47. Diffusion-weighted MR imaging of non-complicated hepatic cysts: Value of 3T computed diffusion-weighted imaging, EUROPEAN JOURNAL OF RADIOLOGY OPEN, 3, 138-144, 2016
    Link to Paper Search Results by DOI
  48. Paradoxical Effect of Cardiac Output on Arterial Enhancement at Computed Tomography: Does Cardiac Output Reduction Simply Result in an Increase in Aortic Peak Enhancement?, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 41(3), 349-353, 2017
    Link to Paper Search Results by DOI
  49. Functional image-guided stereotactic body radiation therapy planning for patients with hepatocellular carcinoma, MEDICAL DOSIMETRY, 42(2), 97-103, 2017
    Link to Paper Search Results by DOI
  50. Coronary Artery Stent Evalurtion with Modell-based lteratilve Reconstruction Coronary CT Angiography, ACADEMIC RADIOLOGY, 24(8), 975-981, 201708
    Link to Paper Search Results by DOI
  51. Hepatocellular carcinoma treated with sorafenib: Arterial tumor perfusion in dynamic contrast-enhanced CT as early imaging biomarkers for survival, EUROPEAN JOURNAL OF RADIOLOGY, 98, 41-49, 201801
    Link to Paper Search Results by DOI
  52. Accuracy of the raw-data-based effective atomic numbers and monochromatic CT numbers for contrast medium with a dual-energy CT technique, BRITISH JOURNAL OF RADIOLOGY, 91(1082), 2018
    Link to Paper Search Results by DOI
  53. Diagnostic accuracy of in-stent restenosis using model-based iterative reconstruction at coronary CT angiography: initial experience, BRITISH JOURNAL OF RADIOLOGY, 91(1082), 2018
    Link to Paper Search Results by DOI
  54. ★, Effect of contrast material injection duration on arterial enhancement at CT in patients with various cardiac indices: Analysis using computer simulation, PLOS ONE, 13(2), 20180223
    Link to Paper Search Results by DOI
  55. Effect of Patient Characteristics on Vessel Enhancement at Lower Extremity CT Angiography, KOREAN JOURNAL OF RADIOLOGY, 19(2), 265-271, 2018
    Link to Paper Search Results by DOI
  56. Quantification of the salivary volume flow rate in the parotid duct using the time-spatial labeling inversion pulse (Time-SLIP) technique at MRI: A feasibility study, JOURNAL OF MAGNETIC RESONANCE IMAGING, 47(4), 928-935, 201804
    Link to Paper Search Results by DOI
  57. Imaging features of papillary renal cell carcinoma with cystic change-dominant appearance in the era of the 2016 WHO classification, ABDOMINAL RADIOLOGY, 42(7), 1850-1856, 201707
    Link to Paper Search Results by DOI
  58. Preliminary Results of High-Precision Computed Diffusion Weighted Imaging for the Diagnosis of Hepatocellular Carcinoma at 3 Tesla, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 42(3), 373-379, 2018
    Link to Paper Search Results by DOI
  59. ★, Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists, RADIOGRAPHICS, 38(4), 1131-1144, 2018
    Link to Paper Search Results by DOI
  60. Improved differentiation between high- and low-grade gliomas by combining dual-energy CT analysis and perfusion CT, MEDICINE, 97(32), 201808
    Link to Paper Search Results by DOI
  61. Automatic contrast medium extraction system using electron density data with dual-energy CT, BRITISH JOURNAL OF RADIOLOGY, 91(1090), 2018
    Link to Paper Search Results by DOI
  62. Development and Validation of Generalized Linear Regression Models to Predict Vessel Enhancement on Coronary CT Angiography, KOREAN JOURNAL OF RADIOLOGY, 19(6), 1021-1030, 2018
    Link to Paper Search Results by DOI
  63. Neointimal formation after carotid artery stenting: phantom and clinical evaluation of model-based iterative reconstruction (MBIR), EUROPEAN RADIOLOGY, 29(1), 161-167, 201901
    Link to Paper Search Results by DOI
  64. Improvement of image quality at CT and MRI using deep learning, JAPANESE JOURNAL OF RADIOLOGY, 37(1), 73-80, 201901
    Link to Paper Search Results by DOI
  65. Clinical application of radiation dose reduction at abdominal CT, EUROPEAN JOURNAL OF RADIOLOGY, 111, 68-75, 201902
    Link to Paper Search Results by DOI
  66. How to Improve the Conspicuity of Breast Tumors on Computed High b-value Diffusion-weighted Imaging, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 18(2), 119-125, 2019
    Link to Paper Search Results by DOI
  67. Minimizing individual variations in arterial enhancement on coronary CT angiographs using "contrast enhancement optimizer": a prospective randomized single-center study, EUROPEAN RADIOLOGY, 29(6), 2998-3005, 201906
    Link to Paper Search Results by DOI
  68. Visualization of simulated small vessels on computed tomography using a model-based iterative reconstruction technique, DATA IN BRIEF, 13, 437-443, 201708
    Link to Paper Search Results by DOI
  69. Effect of Patient Characteristics on Vessel Enhancement in Pediatric Chest Computed Tomography Angiography, CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 70(2), 181-185, 201905
    Link to Paper Search Results by DOI
  70. Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS, JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 13(2), 163-169, 2019
    Link to Paper Search Results by DOI
  71. Improving automatic contrast agent extraction system using monochromatic CT number, AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE, 42(3), 819-826, 201909
    Link to Paper Search Results by DOI
  72. Deep learning-based image restoration algorithm for coronary CT angiography, EUROPEAN RADIOLOGY, 29(10), 5322-5329, 201910
    Link to Paper Search Results by DOI
  73. Evaluation of raw-data-based and calculated electron density for contrast media with a dual-energy CT technique, REPORTS OF PRACTICAL ONCOLOGY AND RADIOTHERAPY, 24(5), 499-506, 2019
    Link to Paper Search Results by DOI
  74. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT, EUROPEAN RADIOLOGY, 29(11), 6163-6171, 201911
    Link to Paper Search Results by DOI
  75. Clinical staging of upper urinary tract urothelial carcinoma for T staging: Review and pictorial essay, INTERNATIONAL JOURNAL OF UROLOGY, 26(11), 1024-1032, 201911
    Link to Paper Search Results by DOI
  76. ★, Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics, ACADEMIC RADIOLOGY, 27(1), 82-87, 202001
    Link to Paper Search Results by DOI
  77. Contrast enhancement on 100-and 120 kVp hepatic CT scans at thin adults in a retrospective cohort study Bayesian inference of the optimal enhancement probability, MEDICINE, 98(47), 201911
    Link to Paper Search Results by DOI
  78. Pseudo-random Trajectory Scanning Suppresses Motion Artifacts on Gadoxetic Acid-enhanced Hepatobiliary-phase Magnetic Resonance Images, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 19(1), 21-28, 2020
    Link to Paper Search Results by DOI
  79. Deep Learning–based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic Metastases, Radiology: Artificial Intelligence, 1(6), 20191009
  80. Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 44(2), 161-167, 2020
    Link to Paper Search Results by DOI
  81. Individual Optimization of Contrast Media Injection Protocol at Hepatic Dynamic Computed Tomography Using Patient-Specific Contrast Enhancement Optimizer, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 44(2), 230-235, 2020
    Link to Paper Search Results by DOI
  82. Evaluation of metal artefact techniques with same contrast scale for different commercially available dual-energy computed tomography scanners, PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE, 43(2), 539-546, 202006
    Link to Paper Search Results by DOI
  83. Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography, ABDOMINAL RADIOLOGY, 45(9), 2698-2704, 202009
    Link to Paper Search Results by DOI
  84. Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver study, EUROPEAN JOURNAL OF RADIOLOGY OPEN, 7, 2020
    Link to Paper Search Results by DOI
  85. A primer for understanding radiology articles about machine learning and deep learning, DIAGNOSTIC AND INTERVENTIONAL IMAGING, 101(12), 765-770, 202012
    Link to Paper Search Results by DOI
  86. Deep learning reconstruction of equilibrium phase CT images in obese patients, EUROPEAN JOURNAL OF RADIOLOGY, 133, 202012
    Link to Paper Search Results by DOI
  87. Prospective Memory Deficits in Multiple Sclerosis: Voxel-based Morphometry and Double Inversion Recovery Analysis, INTERNAL MEDICINE, 60(1), 39-46, 2021
    Link to Paper Search Results by DOI
  88. Computer Simulation of the Effects of Contrast Protocols on Aortic Signal Intensity on Magnetic Resonance Angiograms, CURRENT MEDICAL IMAGING, 17(3), 396-403, 2021
    Link to Paper Search Results by DOI
  89. Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT, EUROPEAN RADIOLOGY, 31(7), 4700-4709, 202107
    Link to Paper Search Results by DOI
  90. Advanced CT techniques for assessing hepatocellular carcinoma, RADIOLOGIA MEDICA, 126(7), 925-935, 202107
    Link to Paper Search Results by DOI
  91. Tumor heterogeneity evaluated by computed tomography detects muscle-invasive upper tract urothelial carcinoma that is associated with inflammatory tumor microenvironment, SCIENTIFIC REPORTS, 11(1), 20210709
    Link to Paper Search Results by DOI
  92. Incidence and factor analysis of laryngohyoid fractures in hanging individuals-computed tomography study, EUROPEAN RADIOLOGY, 31(10), 7827-7833, 202110
    Link to Paper Search Results by DOI
  93. Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study, NEURORADIOLOGY, 63(12), 2013-2021, 202112
    Link to Paper Search Results by DOI

Invited Lecture, Oral Presentation, Poster Presentation

  1. Improving aortic segmentation in CT via a classifier-guided spatial-feature 2.5D network: a preliminary validation., Zhao Z, Higaki T, Raytchev B, Gu Y, Fukumoto W., 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation., 2026/03/16, Without Invitation, English
  2. An audio-based anomaly detection for engine motoring tests in assembly lines., Higaki T, Fukunaga A, Kageyama N, Nagira H., 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation., 2026/03/16, Without Invitation, English
  3. Interactive electric field cross-section visualization via VR and its real-time performance evaluation, Kitano T, Waki R, Manabe T, Higaki T, Matsutomo S., 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation., 2026/03/16, Without Invitation, English
  4. Reduction of aliasing in medical volume rendering for realistic visualization, Shimada N, Higaki T, Raytchev B, Gu Y, Fukumoto W., 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation., 2026/03/16, Without Invitation, English
  5. A five-degree-of-freedom robotic arm simulator for digital twin based on forward and inverse kinematics in virtual reality environment, Waki R, Kitano T, Manabe T, Higaki T, Matsutomo S., 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation., 2026/03/16, Without Invitation, English
  6. A GPU-based virtual CT scan system for data augmentation, Akase T, Higaki T, Manabe T, Matsutomo S., 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation., 2026/03/16, Without Invitation, English
  7. Deep learning based image quality assessment for CT images, Kaji K, Higaki T, Raytchev BR, Gu Y, Nakamura Y., 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation., 2026/03/16, Without Invitation, English
  8. Frontal face generation from multi-view images via 3D face reconstruction, Ichino M, Higaki T, Raytchev B, Gu Y, Nakamura Y, 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation., 2026/03/16, Without Invitation, English
  9. Honeycombing detection in chest CT with Super-Resolution Deep Learning Reconstruction: impact of reader expertise., Wantz R, Fukumoto W, Labani A, Higashibori H, Tatsugami F, Higaki T, Haioun K, Nakamura Y, Ohana M., European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  10. Evaluation of Structural Similarity Index (SSIM) for Assessing CT Image Quality in Chronic Obstructive Pulmonary Disease Using a COPD Phantom., Kawashita I, Fukumoto W, Ieiri R, Higaki T, Nakamura Y, Awai K., European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  11. Clinical value of CZT-based photon-counting detector CT in hepatic dynamic CT in overweight patients., Maeda S, Nakamura Y, Higaki T, Kondo S, Nishigaki M, Nakano S, Akino N, Tsushima S, Awai K., European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  12. Evaluation of device less respiratory gating method for PET through characterization of motion blur spatial frequency., Kawashita I, Ishibashi M, Takauchi K, Akita R, Higaki T, Nakamura Y, Awai K., European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  13. Utility of intracellular enhanced technique for reducing the delay time of gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging., Maeda S, Nakamura Y, Nishihara T, Higaki T, Fonseca DLD, Takizawa M, Kondo S, Honda Y, Awai K., European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  14. Quantitative assessment of motion correction performance in coronary CT angiography., Higaki T, Tatsugami F, Nakamura Y, Ohana M, Awai K., European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  15. Utility of CZT-based photon counting detector CT for hepatic dynamic CT images in comparison with energy integrating detector CT., Nakamura Y, Higaki T, Fukumoto W, Tatsugami F, Nishigaki M, Nakano S, Akino N, Tsushima S, Awai K., Presented at: European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  16. Impact of DLR-based whole heart Motion Correction on inter and intra reader reproducibility of pre-TAVR CT measurements., Coutat G, Tatsugami F, Touitou-Gottenberg D, Fukumoto W, Higaki T, Taniguchi A, Haioun K, Nakamura Y, Ohana M., European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  17. Impact of DLR-based whole heart Motion Correction on inter and intra reader reproducibility of pre-TAVR CT measurements., Coutat G, Tatsugami F, Touitou-Gottenberg D, Fukumoto W, Higaki T, Taniguchi A, Haioun K, Nakamura Y, Ohana M., European Congress of Radiology (ECR) 2026; Vienna, Austria., 2026/03/04, Without Invitation, English
  18. Impact of photon-counting detector CT on visualization of the adamkiewicz artery using super-high-resolution mode with deep learning reconstruction: a first experience., Tatsugami F, Higaki T, Nishigaki M, Nakano S, Nakamura Y, Awai K., RSNA2025. McCormick Place, Chicago, USA., 2025/11/30, Without Invitation, English
  19. Maximizing image quality through the synergy of high-resolution photon-counting detector CT and deep learning reconstruction: a coronary phantom study., Higaki T, Tatsugami F, Nakamura Y, Nishigaki M, Tsushima S, Awai K., RSNA2025. McCormick Place, Chicago, USA., 2025/11/30, Without Invitation, English
  20. Understanding iodinated contrast media: principles, protocols, and safety in CT examinations., Higaki T, Nakamura Y, Tatsugami F, Fukumoto W, Awai K., RSNA2025. McCormick Place, Chicago, USA, 2025/11/30, Without Invitation, English
  21. Prediction of Pedestrian Crossing Intentions Using Wearable Smart Glasses, Yuka Hara, Yanlei Gu, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda, 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE2025), Osaka, Japan, September 23-26, 2025., 2025/09/23, Without Invitation, English
  22. Pedestrian Head Orientation Estimation Using Smartphone Cameras, Aina Hiratani, Yanlei Gu, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda, Pedestrian Head Orientation Estimation Using Smartphone Cameras, 2025/09/23, Without Invitation, English
  23. Breath waveform measurement system using contact-less devices, Kojima Y, Higaki T, Inoue H., 13th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2025); 2025 Sep 4–6; Gliwice, Poland., 2025/09/04, Without Invitation, English
  24. Development of a noncontact electrocardiogram waveform estimation system using machine learning., Tamura H, Higaki T, Inoue H., 13th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2025); 2025 Sep 4–6; Gliwice, Poland., 2025/09/04, Without Invitation, English
  25. Higaki T, Nakamura Y, Tatsugami F, Kondo S, Nishigaki M, Nakano S, Akino N, Tsushima S, Awai K. Improved iodine contrast in total counting reconstruction in photon counting detector CT. ECR2025. Austria Center Vienna, Vienna, Austria., 2024, Without Invitation, English
  26. Tatsugami F, Streiff A, Higaki T, Labani A, Fukumoto W, Ghannudi S, Haioun K, Awai K, Ohana M. DLR-based Motion Correction of Coronary CTA: Preliminary Evaluation. ECR2025. Austria Center Vienna, Vienna, Austria., 2024, Without Invitation, English
  27. Tatsugami F, Higaki T, Kawashita I, Fujioka C, Nakamura Y, Awai K. Effect of the second-generation whole-heart motion correction algorithm on coronary artery calcium scoring. ECR2025. Austria Center Vienna, Vienna, Austria., 2024, Without Invitation, English
  28. Nakamura Y, Higaki T, Fukumoto W, Tatsugami F, Nishigaki M, Nakano S, Akino N, Tsushima S, Awai K. Utility of virtual non-contrast images derived from CZT-based photon counting detector CT in comparison with true non-contrast images. ECR2025. Austria Center Vienna, Vienna, Austria., 2024, Without Invitation, English
  29. Nakamura Y, Higaki T, Kondo S, Fukumoto W, Tatsugami F, Nishigaki M, Nakano S, Akino N, Tsushima S, Awai K. Utility of CZT-based photon counting detector CT for abdominal thin-slice non-contrast CT images in comparison with energy integrating detector CT. ECR2025. Austria Center Vienna, Vienna, Austria., 2024, Without Invitation, English
  30. Kodakari K, Nakamura Y, Higaki T, Matsuura M, Mitani H, Awai K. Super-resolution deep-learning reconstruction improves the image quality of CT during hepatic arteriography. RSNA2024. McCormick Place, Chicago, USA., 2024, Without Invitation, English
  31. Higashibori H, Fukumoto W, Higaki T, Morishita S, Chosa K, Awai K. New photo-realistic illumination technique applied to naked-eye auto-stereoscopic displays for 3D postmortem CT images of skull fractures. RSNA2024. McCormick Place, Chicago, USA., 2024, Without Invitation, English
  32. Fonseca D, Nakamura Y, Nishihara T, Higaki T, Maeda S, Higashino R, Morishita S, Kondo S, Honda Y, Narita K, Takizawa M, Shirai T, Fujimori M, Ohara Y, Asaka H, Awai K. Intracellular enhanced technique for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance images: utility for evaluating hepatic function. RSNA2024. McCormick Place, Chicago, USA., 2024, Without Invitation, English
  33. Mitani H, Honda Y, Narita K, Morishita S, Higashino H, Maeda S, Higashibori H, Kondo S, Fukumoto W, Chosa K, Tani C, Ishibashi M, Tatsugami F, Nakamura Y, Kawashita I, Higaki T, Awai K. A virtual reality-based interventional radiology simulator: its usefulness for teaching medical students. RSNA2024. McCormick Place, Chicago, USA., 2024, Without Invitation, English
  34. Nakamura Y, Higaki T, Fukumoto W, Tatsugami F, Kondo S, Awai K. Dreams and reality in photon counting CT: current capability of the photon counting ct and future prospects. RSNA2024. McCormick Place, Chicago, USA., 2024, Without Invitation, English
  35. Efficient and Accurate Physically Based Rendering of Periodic Multilayer Structures with Iridescence., Yoshiki Kaminaka, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda., SIGGRAPH Asia 2023, 2023/12/15, Without Invitation, English
  36. Accuracy of CT values on virtual monochromatic images of CZT-based Photon Counting Detector CT: comparison with dual-energy CT using energy integrating detector in a phantom model, Nakamura Y, Higaki T, Nishigaki M, Nakano S, Kondo S, Tatsugami F, Maeda S, Fonseca D.L.D, Awai K., ECR2024, 2024/02/28, Without Invitation, English
  37. Utility of multi-energy mode of CZT-based Photon Counting Detector CT for coronary CT angiography: A structured phantom study, Higaki T, Tatsugami F, Nakamura Y, Nishigaki M, Nakano S, Awai K., ECR2024, 2024/02/28, Without Invitation, English
  38. Improving the diagnostic image quality of abdominal CT with super-resolution deep-learning reconstruction: Initial clinical trial targeting hepatocellular carcinoma., Fonseca D.L.D, Nakamura Y, Kondo S, Higaki T, Matsuura M, Narita K, Maeda S, Tatsugami F, Awai K., ECR2024, 2024/02/28, Without Invitation, English
  39. Real-Time Intuitive Interaction and Realistic Illumination for CT Volume Rendering., Katayama K, Higaki T, Kaneda K, Raytchev B, Fukumoto W., The 8th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2024), 2024/03/11, Without Invitation, English
  40. Preliminary evaluation of the image quality of new data-driven respiration-gated image reconstruction for PET imaging, Ishibashi M, Takauchi K, Kawashita I, Higaki T, Ono S, Yang L, Qi W, Awai K., SNMMI2023, 2023/06/08, Without Invitation, English
  41. Reproduction of Color Vision Deficiency Considering Spectrum, Haruya Takahashi, Toru Higaki, Raytchev Bisser, Kazufumi Kaneda, International Workshop on Advanced Image Technology (IWAIT 2023), 2023/01/09, Without Invitation, English
  42. Acquiring Spectral Scattering Properties of Seawater from an RGB Image, Tomoya Wakasugi, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda, Masashi Baba, International Workshop on Advanced Image Technology (IWAIT 2023), 2023/01/09, Without Invitation, English
  43. Semiquantitative evaluation of image quality of clinical CT images by radiologists: From physical evaluation of phantom to semiquantitative evaluation of clinical images, Kawashita I, Higaki T, Nakamura Y, Tatsugami F, Fukumoto W, Awai K, RSNA2022, 2022/11/27, Without Invitation, English
  44. Age estimation of cadavers using deep learning and postmortem CT images of the vertebral, Kawashita I, Fukumoto W, Higaki T, Mitani H, Chosa K, Awai K, RSNA2022, 2022/11/27, Without Invitation, English
  45. Importance of larger reconstruction matrix sizes for super-resolution deep Learning reconstruction, Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Matsuura M, Awai K, RSNA2022, 2022/11/27, Without Invitation, English
  46. Utility of variable-rate contrast medium injection at computed tomography: A simulation study, Higaki T, Nakamura Y, Tatsugami F, Raytchev B, Kaneda K, Awai K, RSNA2022, 2022/11/27, Without Invitation, English
  47. Real-time volume rendering running on an AR device in medical applications., Kota Hashimoto, Toru Higaki, Raytchev Bisser Roumenov, Kazufumi Kaneda., International Workshop on Advanced Image Technology 2022 (IWAIT 2022), 2022/01/04, Without Invitation, English
  48. Multiple-Branch Deep Neural Network for Spectral Super-Resolution., Yuki Mikamoto, Masahiro Sakamoto, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda., 28th International Workshop on Frontiers of Computer Vision (IW-FCV 2022), 2022/02/21, Without Invitation, Japanese
  49. Accuracy of CT number on virtual non-contrast enhanced images generated from stochastic material decomposition., Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Fukumoto W, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  50. Physical characteristics of a new photon-counting detector CT: comparison of the spatial resolution with that on conventional energy-integrated detector CT scans., Higaki T, Kondo S, Teramoto F, Tsuchida R, Takahashi I, Yoshida R, Goto T, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  51. Measurement of directional task-based modulation transfer function at abdominal CT: a phantom study., Higaki T, Yokomachi K, Fujioka C, Nishimaru E, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  52. Physical characteristics of a new photon-counting detector CT scanner: comparison of the contrast-to-noise ratio and the noise power spectrum with those on conventional energy-integrated detector CT., Higaki T, Kondo S, Yokoi K, Kojima S, Takahashi I, Aoki Y, Watanabe F, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  53. Super-resolution deep learning reconstruction at CT: a phantom study for coronary CT angiography., Higaki T, Tatsugami F, Matsuura M, Taguchi H, Tsushima S, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  54. Various applications of deep learning-based reconstruction at CT: denoise, dual-energy CT, and super-resolution., Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Tsushima S, Taguchi H, Matsuura M, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  55. Deep learning based spectral CT imaging for quantifying contrast medium enhancement and washout in hepatocellular carcinomas: comparison of iodine maps and virtual monochromatic images., Narita K, Nakamura Y, Higaki T, Kondo S, Honda Y, Kawashita I, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  56. Easy introduction of the photon counting detector CT (PCD-CT) for radiologists., Kondo S, Higaki T, Nakamura Y, Takahashi I, Goto T, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  57. A new MRI technique for the detailed inspection of compact bone: phantom and preliminary clinical study, Sueoka T, Kawashita I, Higaki T, Honda Y, Nishihara T, Tatsugami F, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  58. Improvement of spatial resolution by using super-resolution deep learning reconstruction at coronary CT angiography., Tatsugami F, Higaki T, Matsuura M, Taguchi H, Tsushima S, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
  59. Radiation dose reduction at abdominal ultra-high-resolution CT with deep learning reconstruction., Narita K, Nakamura Y, Higaki T, Akagi M, Honda Y, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
  60. Utility of deep learning reconstruction of equilibrium phase images in obese patients., Akagi M, Nakamura Y, Narita K, Honda Y, Higaki T, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
  61. Utility of iterative noise reduction for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging., Narita K, Nakamura Y, Higaki T, Nishihara T, Bito Y, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
  62. Image characteristics of deep-learning-based rapid kV switching dual energy CT scans: A phantom study., Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Fujioka C, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
  63. Maximization of the diagnostic ability of ultra-high-resolution CT: optimal scan parameters and image reconstruction techniques., Higaki T, Nakamura Y, Akagi M, Fukumot W, Tatsugami F, Awai K., RSNA2020, 2020/11/29, Without Invitation, English
  64. Contrast enhancement protocol at CT: basics and advanced optimization using computer simulation., Higaki T, Matsumot Y, Tatsugami F, Nakamura Y, Fukumoto W, Awai K., RSNA2020, 2020/11/29, Without Invitation, English
  65. The usefulness of low dose- and 4-dimensional CT imaging using a deep learning reconstruction., Tatsugami F, Higaki T, Mitani H, Sueoka T, Fujioka C, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
  66. Basic physical information for radiologists wishing to fully utilize the capability of dual-energy CT., Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Honda Y, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
  67. The clinical evaluation of the upper urinary tract cancer: what radiologists should know., Honda Y, Nakamura Y, Akagi M, Narita K, Higaki T, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
  68. Abdominal deep leaning spectral imaging: image quality of virtual monochromatic images in the equilibrium phase, Nakamura Y, Higaki T, Akagi M, Narita K, Honda Y, Taguchi H, Tsushima S, Awai K., ECR2020, 2020/07/15, Without Invitation, English
  69. Improvement of image quality by using deep learning image reconstruction at coronary CT angiography performed with high-definition scan mode., Tatsugami F, Higaki T, Fukumoto W, Nakamura Y, Fujioka C, Iida M, Awai K, ECR2020, 2020/07/15, Without Invitation, English
  70. Radiation dose optimization using automatic exposure control at rapid kV-switching dual-energy CT with deep learning technology: Feasibility study using a phantom, Higaki T, Nakamura Y, Tatsugami F, Honda Y, Fujioka C, Awai K, ECR2020, 2020/07/15, Without Invitation, English
  71. Utility of framework software to support medical image processing, Higaki T, Tatsugami F, Nakamura Y, Kaichi Y, Itada Y, Awai K, ECR2020, 2020/07/15, Without Invitation, English
  72. Radiation dose reduction for coronary CT angiography using deep learning reconstruction: A phantom study, Higaki T, Tatsugami F, Nakamura Y, Fukumoto W, Fujioka C, Awai K, ECR2020, 2020/07/15, Without Invitation, English
  73. Dual-energy CT of the renal lesions, Mori T, Honda Y, Higaki T, Fujioka C, Nakamura Y, Terada H, Akagi M, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
  74. Comparison of emphysema scores on low and ultra-low radiation dose CT images using different reconstruction methods, Fukumoto W, Schreuder A, Lafebre S J, Higaki T, Prokop M, Nakamura Y, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
  75. CT image retrieval based on morphological similarities in diffuse lung diseases using a deep convolutional neural network, Terada H, Higaki T, Takebe H, Moriwaki Y, Baba T, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
  76. Capability of a new model-based Iterative reconstruction for brain CT to diagnose acute ischemic stroke: multicenter study, Mitani H, Tatsugami F, Higaki T, Prokop M, Ono C, Ono K, Fukumoto W, Nakamura Y, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
  77. Estimation of minimal liver fibrosis using gadoxetic acid-enhanced liver MRI and machine learning, Narita K, Nakamura Y, Akagi M, Higaki T, Iida M, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
  78. Radiation dose reduction in chest CT at a Micro-Dose (mD) level by noise simulation and noise-specific anatomic Neural Network Convolution (NNC) Deep-Learning (DL) with k-means clustering, Zhao Y, Zarshenas A, Higaki T, Suzuki K, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
  79. CT imaging of fetal skeletal anomalies at minimized radiation exposure: clinical significance, indications, and scan protocol, Matsubara Y, Tani C, Higaki T, Nakamura Y, Honda Y, Fukumoto W, Sakane H, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
  80. A Projection Mapping System onto a Human Body for Medical Applications., Fukuhara R, Kaneda K, Tamaki T, Raytchev B, Higaki T, Nishimoto S, Sotsuka Y., Eurographics 2019, 2019/05/06, Without Invitation, English
  81. Image Noise Reduction with Deep Learning-Based CT Image Reconstruction., Higaki T, Nakamura Y, Tatsugami F, Akino N, Awai K., ECR2019, 2019/02/27, Without Invitation, English
  82. Feasibility of radiation dose reduction using a deep learning based reconstruction at coronary CT angiography., Tatsugami F, Higaki T, Yuko Nakamura, Fukumoto W, Yuya Ito, So Tsushima, Awai K., ECR2019, 2019/02/27, Without Invitation, English
  83. Radiation dose reduction in calcium volume measurement at cardiac CT using model-based iterative reconstruction: A phantom study., Tatsugami F, Higaki T, Nakamura Y, Iida M, Fujioka C, Awai K., ECR2019, 2019/02/27, Without Invitation, English
  84. Deep learning based reconstruction improves the image quality of abdominal ultra-high-resolution computed tomography scans., Utsunomiya K, Nakamura Y, Higaki T, Akagi M, Narita K, Zhou J, Yu Z, Akino N, Awai K., ECR2019, 2019/02/27, Without Invitation, English
  85. Measurement of coronary artery calcium score using ultra-high resolution CT: Cadaver study., Fukumoto W, Higaki T, Tatsugami F, Klein MM, Prokop MM, Awai K., ECR2019, 2019/02/27, Without Invitation, English
  86. 3 Tesla magnetic resonance imaging: Clinical capability of new applications for abdominal imaging., Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Awai K., ECR2019, 2019/02/27, Without Invitation, English
  87. Pseudo-random trajectory scan technique to suppress motion artifacts on gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance images., Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Awai K., ECR2019, 2019/02/27, Without Invitation, English
  88. Dual-Energy Computed Tomography of Renal Lesions., Honda Y, Terada H, Higaki T, Fujioka C, Nakamura Y, Awai K., ECR2019, 2019/02/27, Without Invitation, English
  89. Similar CT image retrieval method based on lesion nature and their three-dimensional distribution., Yasutaka Moriwaki, Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba, Hiroaki Terada, Toru Higaki, Kazuo Awai, Machiko Nakagawa, Akio Ozawa, Kennji Kitayama, Yasuharu Ogino., SPIE Medical Imaging 2019, 2019/02/16, Without Invitation, English
  90. Improvement of diagnostic image quality of abdominal CT by using a deep-learning based reconstruction: Initial clinical trial targeting hypervascular hepatocellular carcinoma., Nakamura Y, Higaki T, Yu Z, Zhou J, Akino N, Awai K, et al., RSNA2018., 2018/11/25, Without Invitation, English
  91. Demonstration of the fetal bone cortex on MRI Scans: Preliminary clinical study on normal fetal specimens., Matsubara Y, Tani C, Higaki T, Kamioka S, Nakamura Y, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
  92. CT findings on hepatocellular carcinoma in patients with hepatitis C showing a sustained virologic response after interferon-free therapy: Comparison with that in patients with interferon-based therapy., Akagi M, Nakamura Y, Narita K, Honda Y, Higaki T, Awai K, et al., RSNA2018., 2018/11/25, Without Invitation, English
  93. Effect of simulated micro-dose (mD) CT on the performance of neural network convolution (NNC) deep-learning (DL) in radiation dose reduction in chest CT., Zhao Y, Zarshenas A, Higaki T, Awai K, Suzuki K., RSNA2018., 2018/11/25, Without Invitation, English
  94. Development a software which assists radiologists to determine optimal contrast material administration protocol at CT: Validation study using a computer simulation., Higaki T, Matsumoto Y , Masuda T, Nakamura Y, Tatsugami F, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
  95. Accuracy of volume measurements of coronary calcification at CT using model-based iterative reconstruction: a phantom study., Higaki T, Tatsugami T, Fujioka C, Yokomachi K, Nakamura Y, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
  96. Imaging Physiology of Contrast Agent: Difference in Pharmacokinetic and Signal Characteristics Between Gadolinium and Iodine Contrast Agent., Higaki T, Nakamura Y, Tatsugami F, Honda Y, Usuki R, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
  97. Easy Understanding of Theory and Image Characteristics of the Model-Based Iterative Reconstruction at CT for Radiologists: How Does It Work?, Higaki T, F Tatsugami, Nakamura Y, Maeda S, Tsushima S, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
  98. "Virtual" High-Dose Technology: Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC)., Zarshenas A, Zhao Y, Liu J, Higaki T, Awai K, Suzuki K., RSNA2018., 2018/11/25, Without Invitation, English
  99. Possibility of Deep Learning Technique in Medical Imaging: Can Deep Learning Improve Image Quality?, Nakamura Yuko, Higaki T, Yu Z, Zhou J, Akino N; Awai K., RSNA2018., 2018/11/25, Without Invitation, English
  100. Non-Invasive Evaluation of Liver Fibrosis Using Imaging Technique: Current Problems and Future Perspective., Narita K, Nakamura Y, Higaki T, Akagi M, Iida M, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
  101. Update of CT Urography: Current Techniques, Clinical Utility, and New Applications., Honda Y, Nakamura Y, Terada H, Higaki T, Fujioka C, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
  102. Deep 3D Anatomy-Specific Neural Network Convolution for Radiation Dose Reduction in Chest CT at a Micro-Dose Level., Amin Zarshenas, Yuji Zhao, Junchi Liu, Toru Higaki, Wataru Fukumoto, Kazuo Awai, Kenji Suzuki., EMBC2018: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society., 2018/07/17, Without Invitation, English
  103. Improvement of diagnostic image quality of abdominal CT by using a deep learning based reconstruction: Initial clinical trial targeting hepatic metastases., Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Ito Y, Iida M, Awai K., ECR2018, 2018/02/28, Without Invitation, English
  104. Improving image quality of low-dose abdominal CT by a deep learning reconstruction: Feasibility study using a liver phantom including simulated tumors., Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Nemoto T, Iida M, Awai K., ECR2018, 2018/02/28, Without Invitation, English
  105. Possibility of deep learning technique in CT image reconstruction., Higaki T, Nakamura Y, Tatsugami F, Iida M, Yu Z, Zhou J, Akino N, Tsushima S, Awai K., ECR2018, 2018/02/28, Without Invitation, English
  106. Radiation dose reduction in CT using Deep Learning based Reconstruction (DLR): A phantom study., Higaki T, Nishimaru E, Nakamura Y, Tatsugami F, Yu Z, Zhou J, Verleker AP, Akino N, Awai K., ECR2018, 2018/02/28, Without Invitation, English
  107. Essential Knowledge About Gadolinium Contrast Agents on Magnetic Resonance Imaging to Plan Optimal Contrast Enhancement Protocols: Graphic Demonstration Using a Computer Simulation., Higaki T, Nakamura Y, Tatsugami F, Honda Y, Akiyama Y, Awai K., RSNA2017, 2017/11/26, Without Invitation, English
  108. A new quantitative index for the noise power spectrum at CT: Correlation with subjective nodule detectability on CT images., Higaki T, Tstsugami F, Nakamura Y, Fujioka C, Tsushima S, Awai K, et al., RSNA2017, 2017/11/26, Without Invitation, English
  109. Improvement of Spatial Resolution of CT Using Model-Based Iterative Reconstruction on CT: A Phantom Study., Higaki T, Tatsugami F, Nakamura Y, Yokomachi K, Tsushima S, Awai K, et al., 2017/11/26, Without Invitation, English
  110. Novel Technique to Generate Computed Diffusion Weighted Brain MRI with Ultra-High B-Values., Higaki T, Tatsugami F, Kaichi Y, Akiyama Y, Umeda M, Awai K., RSNA2017, 2017/11/26, Without Invitation, English
  111. The Detectability of Forward Projected Model-Based Iterative Reconstruction for Low Contrast Lesions: Acute Cerebral Infarction-Phantom Study., Higaki T, Kaichi Y, Tatsugami F, Taguchi H, Iida M, Awai K., RSNA2017, 2017/11/26, Without Invitation, English
  112. Easy understanding of the technical aspects of computed diffusion-weighted Image (cDWI) for radiologis, Higaki T, Nakamura Y, Sakane H, Fukumoto W, Kassai Y, Awai K, RSNA 2016, 2016/11/27, Without Invitation, English, RSNA, Chicago
  113. Contrast material injection protocols at coronary CT angiorapraphy with short injection duration can yield sufficient arterial enhancement in wide range of cardiac output value: computer simulation study., Higaki T, Nakaura T, Kidoh M, Yuki H, Yamashita Y, Awai K, RSNA 2016, 2016/11/27, Without Invitation, English, RSNA, Chicago
  114. Simulation technique for predicting organ enhancement, Toru Higaki, Kazuo Awai, User seminar by Nemoto Kyorindo, RSNA 2015: 100th Scientific assembly and annual meeting., 2015/11/30, With Invitation, English, Chicago, IL, USA
  115. Easy understanding of the technical aspects of abdominal perfusion CT for radiologists., Higaki T, Nakamura Y, Fukumoto W, Kiguchi M, Iida M, Awai K, Honda Y., RSNA 2015, 2015/11/29, Without Invitation, English
  116. Improved accuracy of the CT number of iodine-enhanced structures on virtual monochromatic dual-energy CT images., Higaki T, Kaichi Y, Kiguchi M, Tatsugami F, Tsushima S, Awai K, Iida M, Honda Y., RSNA 2015, 2015/11/29, Without Invitation, English
  117. Computer simulation of contrast enhancement in the whole body: a highly accurate simulation of the bolus transmission of contrast material in individual organs., Higaki T,Nakamura Y, Tatsugami F, Kiguchi M, Iida M, Awai K., RSNA 2015, 2015/11/29, Without Invitation, English
  118. Technique for the composition of virtual monochromatic images in the fourier domain: high contrast-to-noise on CT images of brain tumors., Higaki T, Kaichi Y, Fukumoto W, Honda Y, Iida M, Awai K., RSNA 2015, 2015/11/29, Without Invitation, English
  119. Techniques to genetate high-accuraey computed diffusion- weighted images(cDWI)of the liver., Higaki T, Nakamura Y, Akiyama Y, Ohkubo T, Kassai Y, Awai K., RSNA 2015, 2015/11/29, Without Invitation, English
  120. Registration Method for Gadoxetate Disodium-enhanced MR and Radiation Dose Distribution Maps using an Extracted Liver-region Mask, Toru Higaki, Kazuo Awai, et al., RSNA 2014: 100th Scientific assembly and annual meeting, 2014/11/30, Without Invitation, English
  121. Measurement of Electron Density Using Raw data-based Dual-energy Computed Tomography: Phantom Study, Toru Higaki, Kazuo Awai, et al., RSNA 2014: 100th Scientific assembly and annual meeting, 2014/11/30, Without Invitation, English
  122. Utility of radial scan for identification of arterial hypervascularity of hepatocellular carcinoma on gadoxetic acid-enhanced MR images, Nakamura Y, Higaki T, Narita K, Akagi M, Matsubara Y, Nishihara T, Harada K, Takizawa M, Shirase R, Bito Y, Iida M, Awai K, ECR2020, Without Invitation, English
  123. Evaluation of device less respiratory gating method for PET through characterization of motion blur spatial frequency, Kawashita I, Ishibashi M, Higaki T, Tatsugami F, Takauchi K, Awai K, RSNA2023, 2023/11/26, Without Invitation, English
  124. The diagnostic ability of postmortem imaging for the cause of death, Nakaki Y, Fukumoto W, Mitani H, Chosa K, Nakamura Y, Awai K., RSNA2023, 2023/11/26, Without Invitation, English
  125. Noise reduction at coronary CT angiography with photon-counting detector CT: A structured phantom study, Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Akino N, Nakano S, Awai K., RSNA2023, 2023/11/26, Without Invitation, English
  126. Improving spatial resolution at coronary CT angiography on photon-counting detector CT: A structured phantom study, Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Akino N, Nakano S, Awai K., RSNA2023, 2023/11/26, Without Invitation, English
  127. Contrast enhancement at CT: Principles and clinical applications., Higaki T, akamura Y, Tatsugami F, Awai K., RSNA2023, 2023/11/26, Without Invitation, English
  128. Training of interventional radiology procedures using virtual reality: current status and potential metaverse., Honda Y, Mitani H, Nakamura Y, Higaki T, Chosa K, Kawashita I, Awai K., RSNA2023, 2023/11/26, Without Invitation, English
  129. Coronary artery calcium volume measurement: A comparison between photon-counting CT and ultra-High-resolution CT using a cardiac CT calibration phantom, Tatsugami F, Higaki T, Kawashita I, Akino N, Nakamura Y, Awai K., RSNA2023, 2023/11/26, Without Invitation, English
  130. Visualization of simulated small vessels on photon counting detector CT: comparison with energy integrating CT in a phantom model., Kondo S, Nakamura Y, Higaki T, Akino N, Tsushima S, Tatsugami F, Taguchi H, Maeda S, Narita K, Fonseca D, Awai K., RSNA2023, 2023/11/26, Without Invitation, English
  131. Utility of intracellular enhanced technique for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging., Kondo S, Nakamura Y, Higaki T, Nishihara T, Bito Y, Honda Y, Maeda S, Fonseca D, Narita K, Takizawa M, Shirai T, Fujimori M, Ohara Y, Yoshizawa N, Awai K., RSNA2023, 2023/11/26, Without Invitation, English
  132. Computer-aided diagnosis for hepatic MRI: What is needed and expected?, Maeda S, Nakamura Y, Kondo S, Higaki T, Fonseca D, Narita K, Yamaguchi T, Ishihara M, Karasudani A, Oka A, Hasome Y, Miyazaki N, Takebe H, Baba T, Awai K., RSNA2023, 2023/11/26, Without Invitation, English

Awards

  1. 2017/02/27, Certificate of Merit,, European Society of Radiology (ESR),, Radiation dose reduction in CT using Deep Learning based Reconstruction (DLR): A phantom study
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  2. 2018/11/30, Certificate of Merit,, Radiological Society of North America,, Easy Understanding of Theory and Image Characteristics of the Model-Based Iterative Reconstruction at CT for Radiologists: How Does It Work?

External Funds

Acceptance Results of Competitive Funds

  1. Adaptable and Seamless Technology transfer Program through targetdriven R&D, 2012/11/01, 2013/10/31
  2. KAKENHI, 2013, 2015
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  3. KAKENHI, 2016, 2018
  4. KAKENHI(Grant-in-Aid for Scientific Research (C)), 2020, 2022

Social Activities

Organizing Academic Conferences, etc.

  1. 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026), Publications Chair, 2026/03, 2026/03
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