H. Sugimori

发表

Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images

Masashi Kawakami, K. Hirata, S. Furuya, 2020, Frontiers in Medicine.

Evaluation of image quality of 3-Tesla breast MRI using multi transmit RF transmission technology with image based shimming

Kinya Ishizaka, Hiroki Shirato, Satoshi Terae, 2013 .

Tumor Blood Flow Measurement by Pseudo-Continuous Arterial Spin Labeling (pCASL) in Head and Neck Cancer; Comparison to Dynamic Contrast Enhanced MRI

H. Shirato, S. Terae, Yuriko Suzuki, 2013 .

Quantification of hand synovitis in rheumatoid arthritis: Arterial mask subtraction reinforced with mutual information can improve accuracy of pixel‐by‐pixel time–intensity curve shape analysis in dynamic MRI

Tamotsu Kamishima, H. Sugimori, T. Atsumi, 2018, Journal of magnetic resonance imaging : JMRI.

Composite assessment of power Doppler ultrasonography and MRI in rheumatoid arthritis: a pilot study of predictive value in radiographic progression after one year.

Tamotsu Kamishima, H. Sugimori, T. Atsumi, 2018, The British journal of radiology.

Quantification of myocardial blood flow with dynamic perfusion 3.0 Tesla MRI: Validation with 15o‐water PET

N. Tamaki, K. Hirata, H. Sugimori, 2015, Journal of magnetic resonance imaging : JMRI.

VIBE MRI for evaluating the normal and abnormal gastrointestinal tract in fetuses.

T. Aburano, K. Sengoku, H. Sugimori, 2007, AJR. American journal of roentgenology.

Three-dimensional magnetic resonance imaging after ultrasonography for assessment of fetal gastroschisis.

T. Aburano, T. Miyamoto, K. Sengoku, 2006, Magnetic resonance imaging.

Pixel-by-Pixel Arterial Spin Labeling Blood Flow Pattern Variation Analysis for Discrimination of Rheumatoid Synovitis: A Pilot Study

Tamotsu Kamishima, H. Sugimori, T. Atsumi, 2016, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

Usefulness of Intravoxel Incoherent Motion DWI as Early Detection of Treatment Effect and Prognostic Factor in Patients with Head and Neck Cancer

H. Shirato, S. Terae, Yuriko Suzuki, 2013 .

[Comparison of fat suppression techniques of bilateral breast dynamic sequence at 3.0 T: utility of three-point DIXON technique].

H. Sugimori, Mitsuhiro Nakanishi, S. Mito, 2011, Nihon Hoshasen Gijutsu Gakkai zasshi.

[Non-gated vessel wall imaging of the internal carotid artery using radial scanning and fast spin echo sequence: evaluation of vessel signal Intensity by flow rate at 3.0 tesla].

H. Sugimori, M. Sakata, T. Makabe, 2013, Nihon Hoshasen Gijutsu Gakkai zasshi.

Three-dimensional Pseudo-continuous Arterial Spin-labeling Using Turbo-spin Echo with Pseudo-steady State Readout: A Comparison with Other Major Readout Methods

Yuriko Suzuki, H. Sugimori, K. Kudo, 2018, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

Fast acceleration of ASL-based time-resolved magnetic resonance angiography by acquisition of control and labeled images in the same shot (fast ACTRESS): An optimization study.

Yuriko Suzuki, H. Sugimori, K. Kudo, 2017, Magnetic resonance imaging.

Bilateral breast MRI by use of dual-source parallel radiofrequency excitation and image-based shimming at 3 Tesla: improvement in homogeneity on fat-suppression imaging

H. Shirato, Tamotsu Kamishima, F. Kato, 2014, Radiological Physics and Technology.

Interobserver Reliability on Intravoxel Incoherent Motion Imaging in Patients with Acute Ischemic Stroke

H. Sugimori, T. Kuwashiro, T. Noguchi, 2022, American Journal of Neuroradiology.

Instructions for use Title Simple prediction of right ventricular ejection fraction using tricuspid annular plane systolic excursionin pulmonary hypertension

Yoichi M. Ito, M. Nishimura, Taku Watanabe, 2017 .

Toward automatic reformation at the orbitomeatal line in head computed tomography using object detection algorithm

H. Sugimori, S. Ichikawa, Hideki Itadani, 2022, Physical and Engineering Sciences in Medicine.

Accurate quantitative assessment of synovitis in rheumatoid arthritis using pixel-by-pixel, time-intensity curve shape analysis.

Tamotsu Kamishima, H. Sugimori, T. Atsumi, 2016, The British journal of radiology.

Thymic hyperplasia and thymus gland tumors: differentiation with chemical shift MR imaging.

A. Okizaki, N. Shuke, T. Aburano, 2007, Radiology.

FDG PET/CT diagnostic criteria may need adjustment based on MRI to estimate the presurgical risk of extrapelvic infiltration in patients with uterine endometrial cancer

S. Sudo, N. Sakuragi, F. Kato, 2015, European Journal of Nuclear Medicine and Molecular Imaging.

Factors That Affect Symptoms of Injection Site Infection among Japanese Patients Who Self-Inject Insulin for Diabetes

H. Sugimori, Y. Yoshida, Rika Yano, 2021, Healthcare.

Simultaneous depiction of clot and MRA using 1 min phase contrast angiography in acute ischemic patients.

H. Sugimori, Y. Niiya, Masayuki Gekka, 2022, Magnetic resonance imaging.

Assessment of Coronary Flow Velocity Reserve in the Left Main Trunk Using Phase-contrast MR Imaging at 3T: Comparison with 15O-labeled Water Positron Emission Tomography

H. Shirato, F. Kato, N. Tamaki, 2018, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

Evaluation of Automatic Detection of Abnormal Uptake by Deep Learning and Combination Technique in FDG-PET Images

Masashi Kawakami, K. Hirata, H. Sugimori, 2020 .

Quantification of Vascular Function in Coronary and Brachial Arteries

N. Tamaki, K. Hirata, H. Sugimori, 2019 .

Age Estimation from Brain Magnetic Resonance Images Using Deep Learning Techniques in Extensive Age Range

H. Sugimori, Minghui Tang, Takaaki Yoshimura, 2023, Applied Sciences.

A Comparative Evaluation of Computed Tomography Images for the Classification of Spirometric Severity of the Chronic Obstructive Pulmonary Disease with Deep Learning

H. Makita, H. Sugimori, S. Konno, 2021, Diagnostics.

Computed diffusion-weighted imaging for differentiating synovial proliferation from joint effusion in hand arthritis

Tamotsu Kamishima, H. Sugimori, T. Aoki, 2019, Rheumatology International.

Reduced Myocardial Flow Reserve Is Associated with Subendocardial Infarction and Coronary Stenosis in Patients with Coronary Artery Disease: A Perfusion MRI Study

N. Tamaki, H. Sugimori, C. Katoh, 2019, Cardiovascular Imaging Asia.

Evaluation of cerebral blood flow using multi-phase pseudo continuous arterial spin labeling at 3-tesla.

Yuriko Suzuki, H. Sugimori, K. Kudo, 2013, Magnetic resonance imaging.

Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning

Hiroyuki Sugimori, H. Sugimori, 2018, Journal of healthcare engineering.

Quality Assurance of Chest X-ray Images with a Combination of Deep Learning Methods

H. Sugimori, Daisuke Oura, Shinpe Sato, 2023, Applied Sciences.

Rapid and Reliable Steatosis Rat Model Shrsp5-Dmcr for Cold Storage Experiment

H. Sugimori, K. Kudo, Hiroyuki Kameda, 2023, Transplantation Proceedings.

Magnetic resonance imaging T1 and T2 mapping provide complementary information on the bone mineral density regarding cancellous bone strength in the femoral head of postmenopausal women with osteoarthritis

S. Tadano, M. Todoh, N. Iwasaki, 2019, Clinical biomechanics.

Establishment of a New Qualitative Evaluation Method for Articular Cartilage by Dynamic T2w MRI Using a Novel Contrast Medium as a Water Tracer

N. Iwasaki, H. Sugimori, K. Kudo, 2022, Cartilage.

Development of Chest X-ray Image Evaluation Software Using the Deep Learning Techniques

H. Sugimori, S. Ichikawa, Takaaki Yoshimura, 2023, Applied Sciences.

Comparison of 1H MR spectroscopy, 3-point DIXON, and multi-echo gradient echo for measuring hepatic fat fraction.

H. Shirato, T. Okuaki, S. Terae, 2011, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

Visualizing the urethra by magnetic resonance imaging without usage of a catheter for radiotherapy of prostate cancer

F. Kato, T. Hashimoto, H. Sugimori, 2021, Physics and imaging in radiation oncology.

Prediction of body weight from chest radiographs using deep learning with a convolutional neural network

H. Sugimori, S. Ichikawa, Hideki Itadani, 2023, Radiological Physics and Technology.

A deep-learning method using computed tomography scout images for estimating patient body weight

H. Sugimori, S. Ichikawa, Misaki Hamada, 2021, Scientific Reports.

A Deep Learning Method for Estimating Patient Body Weight Using Computed Tomography Scout Images

Shota Ichikawa, Hiroyuki Sugimori, Misaki Hamada, 2021 .

Acceleration of ASL‐based time‐resolved MR angiography by acquisition of control and labeled images in the same shot (ACTRESS)

M. V. van Osch, M. Van Cauteren, Yuriko Suzuki, 2017, Magnetic resonance in medicine.

Simple prediction of right ventricular ejection fraction using tricuspid annular plane systolic excursion in pulmonary hypertension

M. Nishimura, Taku Watanabe, H. Sugimori, 2013, The International Journal of Cardiovascular Imaging.

Intravoxel incoherent motion MRI for discrimination of synovial proliferation in the hand arthritis: A prospective proof‐of‐concept study

Tamotsu Kamishima, H. Sugimori, T. Aoki, 2019, Journal of magnetic resonance imaging : JMRI.

Classification of type of brain magnetic resonance images with deep learning technique.

H. Sugimori, K. Ishizaka, Taro Fujiwara, 2020, Magnetic resonance imaging.

Development of Detection and Volumetric Methods for the Triceps of the Lower Leg Using Magnetic Resonance Images with Deep Learning

H. Sugimori, T. Yoshimura, Keisuke Manabe, 2021, Applied Sciences.

Improvement in the Convolutional Neural Network for Computed Tomography Images

Hiroyuki Sugimori, Keisuke Manabe, Yusuke Asami, 2021, Applied Sciences.

Medical Radiation Exposure Reduction in PET via Super-Resolution Deep Learning Model

K. Hirata, H. Sugimori, Keiichi Magota, 2022, Diagnostics.

Development of a Deep Learning-Based Algorithm to Detect the Distal End of a Surgical Instrument

Katsuhiko Ogasawara, Akemi Yamashita, Hiroyuki Sugimori, 2020 .

Deep learning-based body weight from scout images can be an alternative to actual body weight in CT radiation dose management.

H. Sugimori, S. Ichikawa, Hideki Itadani, 2023, Journal of Applied Clinical Medical Physics.

Evaluation of renal blood flow using multi-phase echo-planar magnetic resonance imaging and signal targeting with alternating radiofrequency (EPISTAR) in 3-T magnetic resonance imaging

H. Sugimori, N. Fujima, M. Sakata, 2012, Radiological Physics and Technology.

Construction of super-rapid brain MRA using oblique transverse acquisition phase contrast angiography with tilted optimized non-saturated excitation pulse.

H. Sugimori, Daisuke Oura, Shinpei Sato, 2021, Magnetic resonance imaging.

Estimation of Left and Right Ventricular Ejection Fractions from cine-MRI Using 3D-CNN

H. Sugimori, Minghui Tang, S. Ichikawa, 2023, Sensors.

Non-Invasive Estimation of Gleason Score by Semantic Segmentation and Regression Tasks Using a Three-Dimensional Convolutional Neural Network

H. Sugimori, Keisuke Manabe, Takaaki Yoshimura, 2023, Applied Sciences.

Prostatic urinary tract visualization with super-resolution deep learning models

F. Kato, T. Hashimoto, H. Sugimori, 2023, PloS one.

Evaluating the Overall Accuracy of Additional Learning and Automatic Classification System for CT Images

Hiroyuki Sugimori, H. Sugimori, 2019, Applied Sciences.

Automated detection of internal fruit rot in Hass avocado via deep learning-based semantic segmentation of X-ray images

S. Koseki, H. Sugimori, K. Koyama, 2023, Postharvest Biology and Technology.

Predicting Mechanical Thrombectomy Outcome and Time Limit through ADC Value Analysis: A Comprehensive Clinical and Simulation Study Using Machine Learning

H. Sugimori, Y. Niiya, Daisuke Oura, 2023, Diagnostics.

Artificial intelligence for nuclear medicine in oncology

K. Hirata, H. Sugimori, K. Kudo, 2022, Annals of Nuclear Medicine.

Visualization of normal pulmonary fissures on sagittal multiplanar reconstruction MDCT.

Kenichi Nagasawa, Hiroyuki Sugimori, Brad Thompson, 2006, AJR. American journal of roentgenology.

Identification and further differentiation of subendocardial and transmural myocardial infarction by fast strain-encoded (SENC) magnetic resonance imaging at 3.0 Tesla

H. Shirato, M. Van Cauteren, T. Okuaki, 2011, European Radiology.

The montage method improves the classification of suspected acute ischemic stroke using the convolution neural network and brain MRI.

H. Sugimori, Daisuke Oura, Masayuki Gekka, 2023, Radiological physics and technology.

Automatic Detection of a Standard Line for Brain Magnetic Resonance Imaging Using Deep Learning

Masashi Kawakami, Hiroyuki Sugimori, Masashi Kawakami, 2019, Applied Sciences.

Acquisition time reduction in pediatric 99mTc‐DMSA planar imaging using deep learning

H. Sugimori, Akio Nagaki*, S. Ichikawa, 2023, Journal of applied clinical medical physics.

Comparison of SPAMM and SENC methods for evaluating peak circumferential strain at 3T.

H. Sugimori, N. Oyama-Manabe, M. Sakata, 2013, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[Usefulness of phase-sensitive inversion recovery in delayed enhanced cardiac MRI].

H. Sugimori, M. Kubota, T. Uno, 2007, Nihon Hoshasen Gijutsu Gakkai zasshi.