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Takeharu Yoshikawa
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2020 – today
- 2024
- [j16]Md. Ashraful Alam, Shouhei Hanaoka, Yukihiro Nomura, Tomohiro Kikuchi, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Takeharu Yoshikawa, Osamu Abe:
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. 19(3): 581-590 (2024) - [j15]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:
Performance changes due to differences among annotating radiologists for training data in computerized lesion detection. Int. J. Comput. Assist. Radiol. Surg. 19(8): 1527-1536 (2024) - [j14]Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Takahiro Nakao, Tomomi Takenaga, Hirotaka Matsuzaki, Nobutake Yamamichi, Osamu Abe:
Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets. Int. J. Comput. Assist. Radiol. Surg. 19(10): 1991-2000 (2024) - [i2]Yosuke Yamagishi, Shouhei Hanaoka, Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Osamu Abe:
Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging. CoRR abs/2408.06170 (2024) - 2023
- [i1]Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Yukihiro Nomura, Harushi Mori, Takeharu Yoshikawa:
Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks. CoRR abs/2308.07573 (2023) - 2021
- [j13]Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
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. 16(9): 1527-1536 (2021) - [j12]Yukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Takeyuki Watadani, Naoto Hayashi, Osamu Abe:
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning. Int. J. Comput. Assist. Radiol. Surg. 16(11): 1901-1913 (2021) - [j11]Takahiro Nakao, Shouhei Hanaoka, Yukihiro Nomura, Masaki Murata, Tomomi Takenaga, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
Unsupervised Deep Anomaly Detection in Chest Radiographs. J. Digit. Imaging 34(2): 418-427 (2021) - [j10]Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers. BMC Medical Informatics Decis. Mak. 21(1): 262 (2021) - 2020
- [j9]Yukihiro Nomura, Soichiro Miki, Naoto Hayashi, Shouhei Hanaoka, Issei Sato, Takeharu Yoshikawa, Yoshitaka Masutani, Osamu Abe:
Novel platform for development, training, and validation of computer-assisted detection/diagnosis software. Int. J. Comput. Assist. Radiol. Surg. 15(4): 661-672 (2020) - [j8]Yukihiro Nomura, Issei Sato, Toshihiro Hanawa, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Tetsuya Hoshino, Yuji Sekiya, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization. J. Supercomput. 76(9): 7315-7332 (2020)
2010 – 2019
- 2019
- [j7]Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI. Int. J. Comput. Assist. Radiol. Surg. 14(8): 1259-1266 (2019) - [j6]Shouhei Hanaoka, Yukihiro Nomura, Tomomi Takenaga, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe, Akinobu Shimizu:
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. 14(12): 2095-2107 (2019) - 2018
- [c11]Daisuke Sato, Shouhei Hanaoka, Yukihiro Nomura, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes. Medical Imaging: Computer-Aided Diagnosis 2018: 105751P - 2017
- [j5]Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Akinobu Shimizu:
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. 12(3): 413-430 (2017) - [j4]Shouhei Hanaoka, Yoshiyasu Nakano, Mitsutaka Nemoto, Yukihiro Nomura, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Yoshitaka Masutani, Akinobu Shimizu:
Automatic detection of vertebral number abnormalities in body CT images. Int. J. Comput. Assist. Radiol. Surg. 12(5): 719-732 (2017) - [j3]Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa:
Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm. J. Digit. Imaging 30(5): 629-639 (2017) - [j2]Shouhei Hanaoka, Akinobu Shimizu, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani:
Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization. Medical Image Anal. 35: 192-214 (2017) - 2016
- [c10]Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Kuni Ohtomo:
A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA. Medical Imaging: Computer-Aided Diagnosis 2016: 97852S - 2015
- [c9]Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani, Akinobu Shimizu:
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection. MICCAI (2) 2015: 103-110 - 2013
- [c8]Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo:
A Multiple Anatomical Landmark Detection System for Body CT Images. CANDAR 2013: 308-311 - [c7]Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Kuni Ohtomo, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi:
Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method. CANDAR 2013: 316-319 - [c6]Yukihiro Nomura, Yoshitaka Masutani, Soichiro Miki, Shouhei Hanaoka, Mitsutaka Nemoto, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo:
Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment. CANDAR 2013: 320-323 - [c5]Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo:
Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model. Medical Imaging: Image Processing 2013: 866917 - 2012
- [c4]Shohei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo:
Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles. MICCAI (2) 2012: 106-113 - 2011
- [c3]Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo:
A unified framework for concurrent detection of anatomical landmarks for medical image understanding. Medical Imaging: Image Processing 2011: 79623E - 2010
- [j1]Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shohei Hanaoka, Soichiro Miki, Eriko Maeda, Kuni Ohtomo:
CIRCUS: an MDA Platform for Clinical Image Analysis in Hospitals. Trans. Mass Data Anal. Images Signals 2(1): 112-127 (2010) - [c2]Mitsutaka Nemoto, Yukihiro Nomura, Shohei Hanaoka, Yoshitaka Masutani, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo:
Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images. MLMI 2010: 174-181
2000 – 2009
- 2003
- [c1]Yoshitaka Masutani, Takeharu Yoshikawa, Shigeki Aoki, Kuni Ohtomo, Anthony J. Sherbondy, Sandy Napel:
EPI distortion correction for MR-DTI by using texture memory on graphics hardware. CARS 2003: 1315
Coauthor Index
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