Takeharu Yoshikawa

33 papers B 2Journal 21Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ModernBERT is More Efficient than Conventional BERT for Chest CT Findings Classification in Japanese Radiology Reports. CoRR Yosuke Yamagishi, Tomohiro Kikuchi, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe
2025	—	`conf`	RadFig-VQA: A Multi-imaging-Modality Radiology Benchmark for Evaluating Vision-Language Models in Clinical Practice. Agentic AI/CREATE/Clinical MLLMs@MICCAI Yosuke Yamagishi, Shouhei Hanaoka, Yuta Nakamura, Tomohiro Kikuchi, Akinobu Shimizu, Takeharu Yoshikawa, Osamu Abe
2024	J	`jnl`	Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets. Int. J. Comput. Assist. Radiol. Surg. Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Takahiro Nakao, Tomomi Takenaga, Hirotaka Matsuzaki, Nobutake Yamamichi, Osamu Abe
2024	J	`jnl`	Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model. CoRR Yosuke Yamagishi, Yuta Nakamura, Tomohiro Kikuchi, Yuki Sonoda, Hiroshi Hirakawa, Shintaro Kano, Satoshi Nakamura, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe
2024	J	`jnl`	Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data. Int. J. Comput. Assist. Radiol. Surg. Md. Ashraful Alam, Shouhei Hanaoka, Yukihiro Nomura, Tomohiro Kikuchi, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Takeharu Yoshikawa, Osamu Abe
2024	J	`jnl`	Performance changes due to differences among annotating radiologists for training data in computerized lesion detection. Int. J. Comput. Assist. Radiol. Surg. Yukihiro Nomura, Shouhei Hanaoka, Naoto Hayashi, Takeharu Yoshikawa, Saori Koshino, Chiaki Sato, Momoko Tatsuta, Yuya Tanaka, Shintaro Kano, Moto Nakaya, Shohei Inui, Masashi Kusakabe, Takahiro Nakao, Soichiro Miki, Takeyuki Watadani, Ryusuke Nakaoka, Akinobu Shimizu, Osamu Abe
2024	J	`jnl`	Synthesis of Hybrid Data Consisting of Chest Radiographs and Tabular Clinical Records Using Dual Generative Models for COVID-19 Positive Cases. J. Imaging Inform. Medicine Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Yukihiro Nomura, Harushi Mori, Takeharu Yoshikawa
2024	J	`jnl`	Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging. CoRR Yosuke Yamagishi, Shouhei Hanaoka, Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Osamu Abe
2023	J	`jnl`	Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks. CoRR Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Yukihiro Nomura, Harushi Mori, Takeharu Yoshikawa
2021	J	`jnl`	Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers. BMC Medical Informatics Decis. Mak. Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
2021	J	`jnl`	Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI. Int. J. Comput. Assist. Radiol. Surg. Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
2021	J	`jnl`	Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning. Int. J. Comput. Assist. Radiol. Surg. Yukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Takeyuki Watadani, Naoto Hayashi, Osamu Abe
2021	J	`jnl`	Unsupervised Deep Anomaly Detection in Chest Radiographs. J. Digit. Imaging Takahiro Nakao, Shouhei Hanaoka, Yukihiro Nomura, Masaki Murata, Tomomi Takenaga, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
2020	J	`jnl`	Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization. J. Supercomput. Yukihiro Nomura, Issei Sato, Toshihiro Hanawa, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Tetsuya Hoshino, Yuji Sekiya, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
2020	J	`jnl`	Novel platform for development, training, and validation of computer-assisted detection/diagnosis software. Int. J. Comput. Assist. Radiol. Surg. Yukihiro Nomura, Soichiro Miki, Naoto Hayashi, Shouhei Hanaoka, Issei Sato, Takeharu Yoshikawa, Yoshitaka Masutani, Osamu Abe
2019	J	`jnl`	Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI. Int. J. Comput. Assist. Radiol. Surg. Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
2019	J	`jnl`	HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules. Int. J. Comput. Assist. Radiol. Surg. Shouhei Hanaoka, Yukihiro Nomura, Tomomi Takenaga, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe, Akinobu Shimizu
2018	—	`conf`	A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes. Computer-Aided Diagnosis Daisuke Sato, Shouhei Hanaoka, Yukihiro Nomura, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
2017	J	`jnl`	Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization. Medical Image Anal. Shouhei Hanaoka, Akinobu Shimizu, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani
2017	J	`jnl`	Automatic detection of vertebral number abnormalities in body CT images. Int. J. Comput. Assist. Radiol. Surg. Shouhei Hanaoka, Yoshiyasu Nakano, Mitsutaka Nemoto, Yukihiro Nomura, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Yoshitaka Masutani, Akinobu Shimizu
2017	J	`jnl`	Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm. J. Digit. Imaging Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa
2017	J	`jnl`	Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images. Int. J. Comput. Assist. Radiol. Surg. Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Akinobu Shimizu
2016	—	`conf`	A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA. Computer-Aided Diagnosis Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Kuni Ohtomo
2015	—	`conf`	HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection. MICCAI (2) Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani, Akinobu Shimizu
2013	—	`conf`	A Multiple Anatomical Landmark Detection System for Body CT Images. CANDAR Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo
2013	B	`conf`	Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model. Image Processing Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo
2013	—	`conf`	Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method. CANDAR Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Kuni Ohtomo, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi
2013	—	`conf`	Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment. CANDAR Yukihiro Nomura, Yoshitaka Masutani, Soichiro Miki, Shouhei Hanaoka, Mitsutaka Nemoto, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo
2012	—	`conf`	Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles. MICCAI (2) Shohei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo
2011	B	`conf`	A unified framework for concurrent detection of anatomical landmarks for medical image understanding. Image Processing Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo
2010	J	`jnl`	CIRCUS: an MDA Platform for Clinical Image Analysis in Hospitals. Trans. Mass Data Anal. Images Signals Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shohei Hanaoka, Soichiro Miki, Eriko Maeda, Kuni Ohtomo
2010	—	`conf`	Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images. MLMI Mitsutaka Nemoto, Yukihiro Nomura, Shohei Hanaoka, Yoshitaka Masutani, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo
2003	—	`conf`	EPI distortion correction for MR-DTI by using texture memory on graphics hardware. CARS Yoshitaka Masutani, Takeharu Yoshikawa, Shigeki Aoki, Kuni Ohtomo, Anthony J. Sherbondy, Sandy Napel