Online edition: ISSN 2432-6380
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MI2025-59
Measurement of sound speed distribution image considering attenuations by acoustic microscope.
Rena Kobayashi, Mototaka Arakawa, Takuro Ishii, Kazuto Kobayashi, Yoshifumi Saijo (Tohoku Univ.)
pp. 1 - 4
MI2025-60
Investigation of influence of scatterer structure in biological tissue on acoustic characteristics
Shoya Sakaguchi, Miyu Nagaoka (Chiba Univ,), Jonathan Mamou, Cameron Hoerig (WCM Radiology), Shinnosuke Hirata, Kenji Yoshida, Tadashi Yamaguchi (Chiba Univ,)
pp. 5 - 8
MI2025-61
Study on an Adaptive Sound Velocity Map Construction Method Aimed at Improving the Accuracy of Shear Wave Velocity Estimation
Taise Takagi, Ryo Nagaoka, Omura Masaaki, Hideyuki Hasegawa (Univ. Toyama)
pp. 9 - 11
MI2025-62
Estimation of viscoelastic properties of tissue mimicking phantoms using dual ultrasound excitation method
Satoki Shintani, Mototaka Arakawa, Takuro Ishii, Yoshifumi Saijo (Tohoku Univ.)
pp. 12 - 15
MI2025-63
Viscoelastic Modulus Estimation for Magnetic Resonance Elastography Using Generative Adversarial Network and Physics-Informed Neural Networks
Tatsuru Zushiden (Chiba Univ.), Hiroshi Fujiwara (Kyoto Univ.), Mikio Suga (Chiba Univ.)
pp. 16 - 18
MI2025-64
Basic study on Effects of exercise volume on muscle characteristics and acoustic impedance in breast cancer model mice
Ryohei Kobayashi, Yuki Takeuchi (Chiba Univ.), Hitoshi Maruyama (Juntendo Univ.), Nahoko Nagano, Shinnosuke Hirata, Kenji Yoshida, Tadashi Yamaguchi (Chiba Univ.)
pp. 19 - 22
MI2025-65
Data Augmentation for Ultrasound Imaging in Deep Vein Thrombosis Diagnosis
Yusuke Sato, Naoki Negishi, Masaaki Omura, Mayumi Shiozaki, Aya Yokota, Hideki Niimi, Hideyuki Hasegawa, Gao Shangce (Univ. Toyama)
pp. 23 - 26
MI2025-66
Imaging of thoracic spine gap with ultrasound beam steering to assist epidural anesthesia
Yusuke Soejima, Mototaka Arakawa, Takuro Ishii, Hidehisa Saito, Eiko Onishi, Masanori Yamauchi, Yoshifumi Saijo (Tohoku Univ.)
pp. 27 - 30
MI2025-67
(See Japanese page.)
pp. 31 - 34
MI2025-68
Liver Segmentation for Echo-Envelope Statistical Analysis of Ultrasound Images Toward Quantitative Diagnosis of Fatty Liver
Daoheng Fan, Daisuke Okazaki (Chiba Univ.), Akiko Higashiura (Hyogo Med. Univ. Hosp.), Takashi Nishimura, Hiroko Iijima (Hyogo Med. Univ.), Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.)
pp. 35 - 38
MI2025-69
Development of a quantitative method for evaluating red blood cell aggregation size based on ultrasonic backscatter characteristics
Haruto Niiyama, Mototaka Arakawa, Takuro Ishii (Tohoku Univ.), Satoshi Yashiro, Yasushi Ishigaki (Iwate Med. Univ.), Yoshifumi Saijo (Tohoku Univ.)
pp. 39 - 42
MI2025-70
Correction of Scatter and Beam Hardening in CBCT Images Using CNN with Energy Information from Photon-Counting Detectors
Chihiro Narita, Koichi Ogawa (Hosei Univ.)
pp. 43 - 46
MI2025-71
Multi-Volume-Guided Diffusion Model for Limited-Angle CT Reconstruction and Generalization Ability to Unseen Angle Ranges
Hinako Isogai, Naruki Murahashi, Mitsuhiro Nakamura, Megumi Nakao (Kyoto Univ.)
pp. 47 - 50
MI2025-72
Chest 4D-CT Image Generation Using Statistical Displacement Field-Guided Diffusion Model
Miki Kanamuro (Kyoto Univ.), Hideaki Hirashima (Kyoto Univ. Hospital), Mitsuhiro Nakamura, Megumi Nakao (Kyoto Univ.)
pp. 51 - 54
MI2025-73
Image Evaluation of a Whole-Body Whole Gamma Imaging System Using a Body Phantom
-- Simulation-Based Performance Prediction --
Mizuki Miyahara (Chiba Univ.), Hideaki Tashima (QST), Mikio Suga (Chiba Univ.), Sodai Takyu, Go Akamatsu, Fumihiko Nishikido, Taiga Yamaya (QST)
pp. 55 - 58
MI2025-74
[Short Paper]
Accelerated MRI Reconstruction using Cold Diffusion with the introduction of Deep Diffusion Image Prior
Shunsuke Fukutomi, Tatsuya Yokota, Hidekata Hontani (NITech)
pp. 59 - 60
MI2025-75
[Invited Lecture]
Latest Research Trends 2025: Image Segmentation and General Overview of MICCAI
Masahiro Oda (Nagoya Univ.), Ryo Furukawa (Kindai), Kensaku Mori (Nagoya Univ.)
pp. 61 - 63
MI2025-76
[Invited Lecture]
Latest Research Trends 2025: Registration
Yoshito Otake (NAIST)
pp. 64 - 67
MI2025-77
[Invited Lecture]
Latest Research Trends 2025: Pathological Image Analysis
Ryoma Bise (Kyushu Univ.)
pp. 68 - 71
MI2025-78
[Invited Lecture]
Latest Research Trends 2025: Image and Video Synthesis
Akira Kudo (Fujifilm)
pp. 72 - 74
MI2025-79
[Invited Lecture]
Latest Research Trends 2025: Vision Language Model
Maiko Nagao, Atsushi Teramoto (Meijo Univ.)
pp. 75 - 79
MI2025-80
[Invited Lecture]
Latest Research Trends 2025: Medical Report Generation
Gu Yi (NAIST)
pp. 80 - 82
MI2025-81
[Invited Lecture]
Latest Research Trends 2025: Computer Aided Therapy
Ken'ichi Morooka (Kumamoto Univ.)
pp. 83 - 85
MI2025-82
[Short Paper]
Generation of large-scale pathological microscopic images using a diffusion model guided by local and global features
Hijiri Ito, Ryoichi Koga, Tatsuya Yokota (NITech), Hiroaki Miyoshi (Kurume Univ.), Hidekata Hontani (NITech)
pp. 86 - 87
MI2025-83
ASD Diagnosis Using GAN-Based Data Augmentation and Federated Learning
Nao Mukaide, Takuya Kitamura (NIT)
pp. 88 - 91
MI2025-84
Spatial Structure-Aware Mamba for Fungal Image Classification
Weihao Qi, Seiichiro Kamata (Waseda Univ.)
pp. 92 - 95
MI2025-85
[Short Paper]
Salivary gland tumor classification from multi-parametric MR images using a medical vision-language model and a functional feature extractor
shota iribe, Keita Takeda, Tomoya Sakai, Misa Sumi (Nagasaki Univ.)
pp. 96 - 97
MI2025-86
Estimation of Percent Predicted FEV1 Using Deep Learning on Chest X-Ray Fluoroscopic Motion Images
-- Toward Assistive Assessment for COPD Diagnosis --
Tetsuo Shimada (Sanjo City University), Takehiko Abe (The Cancer Institute Hospital of JFCR), Masanao Nakashima, Atsushi Nagai (Shin-yurigaoka General Hospital)
pp. 98 - 101
MI2025-87
Grade group classification model using pathomics features in prostate tumor histopathology images
Shun Shimabukuro, Hidetaka Arimura, Yu Jin, Yunhao Cui (Kyushu Univ), Anton Schwarz (JGU), Satoshi Kobayashi, Takashi Matsumoto, Masaki Shiota, Masatoshi Eto, Yoshinao Oda (Kyushu Univ)
pp. 102 - 103
MI2025-88
Prognostic Prediction of Patients with Malignant Soft Tissue Tumors Using Multitask Learning Based on Large-Scale Pretrained Models
Syoma Sakakibara, Kento Morita, Tomohito Hagi, Yumi Matsuyama, Tomoki Nakamura, Tetsushi Wakabayashi (Mie Univ.)
pp. 104 - 107
MI2025-89
Ordinal Deep Learning for Quantifying Planar Image Features Related to the Perugini Grade
Yang Hongwei, Takeda Keita, Sakai Tomoya, Kudo Takasi (NU)
pp. 108 - 111
MI2025-90
Quality Evaluation Framework for Automatically Generated Answers in Japanese Medical VQA Dataset Construction
Qi Chuanyu, Masahiro Oda, Kensaku Mori (Nagoya Univ.)
pp. 112 - 115
MI2025-91
Robust Tooth Segmentation from Both Standard and Non-standard Dentition Models
Ichika Nakashima, Ken'ichi Morooka, Aoi Kiyota (Kumamoto Univ.), Miku Yasumitsu (Okayama Univ.), Yukako Nakamae (Kumamoto Univ.), Kana Kono, Hiroshi Kamioka (Okayama Univ.)
pp. 116 - 118
MI2025-92
Topologically constrained extraction of interlobular septa from lung micro-focus X-ray CT volumes
Haruto Yada, Yuichiro Hayashi, Shota Nakamura, Hiroki Watanabe, Masahiro Oda, Kensaku Mori (Nagoya Univ.)
pp. 119 - 122
MI2025-93
Towards Lung Lobe Segmentation for Unseen Thoracoscopic Surgery Videos Using U-Net and SAM2
Misaki Hidaka (Kyoto Univ.), Yuka Kadomatsu, Harushi Ueno, Toyofumi Yoshikawa (Nagoya Univ.), Megumi Nakao (Kyoto Univ.)
pp. 123 - 126
MI2025-94
Improving extraction accuracy by using a slice weight module in CNN-based 3D medical image segmentation
Xiaoshuo Kan, Koichi Ogawa (Hosei Univ.)
pp. 127 - 130
MI2025-95
Hierarchical Segmentation of Prostate Cancer in MRI Images Using Deep Learning
Kosuke Hori, Masahiro Nozawa, Takahiro Yamada (Kindai Univ.), Kazunari Ishii (Kobe Univ.), Yuichi Kimura, Hitoshi Habe (Kindai Univ.)
pp. 131 - 134
MI2025-96
Progressive Refinement VMamba Framework and Two-Stage Classification for Nucleus Instance Segmentation
Zeyang Zhang, Seiichiro Kamata (Waseda Univ.)
pp. 135 - 138
MI2025-97
A Study of a Semi-Supervised Retinal Layer Segmentation Method Using a Retinal Foundation Model
Tsubasa Konno, Takahiro Ninomiya, Koichi Ito, Toru Nakazawa, Takafumi Aoki (Tohoku Univ.)
pp. 139 - 142
MI2025-98
Development of a Free-Viewpoint Video Generation for Open Surgery
Taisei Kudo, Ryotaro Takatsuki, Chun Xie, Tomoaki Furuta, Tatsuya Oda, Itaru Kitahara (Univ. of Tsukuba)
pp. 143 - 146
MI2025-99
Development of an Interactive System Integrating Finger-Pointing Gestures for Three-Dimensional Anatomical Structures on Smart Glasses
Kota Kimura, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Ryou Takahashi, Masahiro Kawamoto (EyeTech Co., Ltd.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.)
pp. 147 - 150
MI2025-100
A Study on Automated Segmentation of Surgical Instruments and Anatomical Structures from Laparoscopic Videos using SAM2
Ikkei Takami, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.)
pp. 151 - 154
MI2025-101
A Study on Masking Ratio and Dataset Expansion for Pre-Training Laparoscopic Image Foundation Models
Kaede Yasuda, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Kensaku Mori (Nagoya Univ./NII/)
pp. 155 - 158
MI2025-102
A Study on Panoramic Vision Simulator for Thoracoscopic Surgery Instrument Tracking
Takumi Toda, Takayuki Kitasaka (AIT), Shota Nakamure, Toyofumi Fnegshi Chen Yoshikawa (NU)
pp. 159 - 162
MI2025-103
Evaluation of Self-Supervised 2D/3D Deformable Registration Model for Laparoscopic Images
Mami Kobayashi, Yuki Kidoguchi, Satoshi Ogiso, Hiroto Nishino, Megumi Nakao (Kyoto Univ.)
pp. 163 - 166
MI2025-104
Depthmap-based 2D-3D Reconstruction of the Wrist Bones from a Single-View Radiograph for the Diagnosis of Deformity and Treatment Planning
Yanis Tahrat, Yi Gu (NAIST), Ryoya Shiode, Kunihiro Oka (Osaka Univ.), Soufi Mazen, Yoshinobu Sato, Yoshito Otake (NAIST)
pp. 167 - 170
MI2025-105
[Short Paper]
Analysis of the Seperation of Morphological and Textural Components in Cell Nucleus Images and Their Contributions to Cell Type Classification
Rina Tominaga, Ryoichi Koga (NITech), Yoshiaki Miyoshi (Kurume Univ.), Hidekata Hontani (NITech)
pp. 171 - 172
MI2025-106
[Short Paper]
How do medical Vision-Language Models represent diseases?
-- An analysis via sparse subspace clustering --
Sakura Takuma, Tomoya Sakai, Keita Takeda (Nagasaki Univ.)
pp. 173 - 174
MI2025-107
[Short Paper]
Deep learning for quantifying the ordinal nature of Papanicolaou classes in oral cytology images
HInata Masaki, Tomoya Sakai (Nagasaki Univ.), Eiji Mitate (Kanazawa Medical Univ), Keita Takeda (Nagasaki Univ.)
pp. 175 - 176
MI2025-108
[Short Paper]
Uncertainty Quantification for Multi-Class Classification of Malignant Lymphoma Pathology Images Using Conformal Prediction
Noriaki Hashimoto (RIKEN), Hiroaki Miyoshi (Kurume Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN)
pp. 177 - 180
MI2025-109
Pathological Analysis of Cardiovascular Disease using Vision Features
Manami Inoue, Kento Morita (Mie Univ.), Nice Ren, Shogo Watanabe (NCVC), Syoji Kobashi (UHyogo), Kinta Hatakeyama, Koji Iihara (NCVC), Tetsushi Wakabayashi (Mie Univ.)
pp. 181 - 184
MI2025-110
Estimation of Biological Intestinal Age and Disease Analysis Using Colorectal Endoscopic Images
Yoshiki Yamashita, Yoichi Maekawa, Takashi Ibuka, Junichi Takeda, Xiangrong Zhou, Takeshi Hara (Gifu Univ.)
pp. 185 - 188
MI2025-111
Analysis of Radiologists' Decision-Making and Reading Behaviors Under Trust Calibration Cue Presentation in Chest X-ray Diagnostic Support Systems
Hina Saito (Gifu Univ.), Seiji Yamada (Kanagawa Univ.), Takeshi Hara (Gifu Univ.), Masaki Matsusako (St. Luke's), Taiki Nozaki (NDMC), Katsunori Oikado (Toranomon Hospital), Kumi Ozaki (HUSM), Xiangrong Zhou (Gifu Univ.)
pp. 189 - 192
MI2025-112
Delineation Model with Swin UNETR for Large Gross Tumor Volumes in Radiotherapy Patients with Stage III NSCLC
Qijing Lin, Hidetaka Arimura, Yunhao Cui, Hidetake Yabuuchi (Kyudai)
pp. 193 - 194
MI2025-113
Proposal of method for reducing MR thermometry errors caused by respiratory displacement and deformation using location of hepatic veins
Toya Yabui, Daisuke Kokuryo, Etsuko Kumamoto (Kobe Univ.)
pp. 195 - 198
MI2025-114
Rat dorsal microcirculation observation and activated clotting time measurement toward real-time monitoring of blood coagulation function
Kosei Sasaki, Yuki Morimoto, Takayuki Okamoto (Chiba Univ.), Eiichi Kobayashi (Chiba Medical Center), Tomoyoshi Ito, Hideaki Haneishi (Chiba Univ.)
pp. 199 - 202
MI2025-115
Predicting the Success of Bronchoscopic Biopsy Using Chest CT Images
Yuto Tashiro, Yuu Kitamura, Xiangrong Zhou, Takeshi Hara, Yukari Tubata (Gifu Univ.)
pp. 203 - 206
MI2025-116
Development of a Method for Predicting Musculoskeletal Geometry from Optical 3D Body Surface Scan Data Using a Statistical Shape Model
Ryota Suzuki, Yi Gu, Mazen Soufi (NAIST), Kaoru Fujihara, Yoji Katsuhara (HSRC), Yoshitake Yamada, Masahiro Jinzaki (Keio), Sato Yoshinobu, Yoshito Otake (NAIST)
pp. 207 - 210
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.