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ORCIDShohei Hanaoka
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2020 – today
- 2024
[j19]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)- [j18]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) - [j17]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) - [i10]Shannon Leigh Walston, Hiroshi Seki, Hirotaka Takita, Yasuhito Mitsuyama, Shingo Sato, Akifumi Hagiwara, Rintaro Ito, Shouhei Hanaoka, Yukio Miki, Daiju Ueda:
Data Set Terminology of Artificial Intelligence in Medicine: A Historical Review and Recommendation. CoRR abs/2404.19303 (2024) - [i9]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
- [c18]Yosuke Yamagishi, Shohei Hanaoka:
Effect of Stage Training for Long-Tailed Multi-Label Image Classification. ICCV (Workshops) 2023: 2713-2720 - [i8]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) - 2022
- [i7]Takahiro Suzuki, Shouhei Hanaoka, Issei Sato:
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection. CoRR abs/2204.13849 (2022) - [i6]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
Aging prediction using deep generative model toward the development of preventive medicine. CoRR abs/2208.10797 (2022) - [i5]Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
Local Differential Privacy Image Generation Using Flow-based Deep Generative Models. CoRR abs/2212.10688 (2022) - 2021
- [j16]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) - [j15]Shouhei Hanaoka, Takeshi Hara, Akinobu Shimizu:
IJCARS-JAMIT 2019-2020 special issue. Int. J. Comput. Assist. Radiol. Surg. 16(11): 1853-1854 (2021) - [j14]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) - [j13]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Issei Sato, Daisuke Sato, Naoto Hayashi, Osamu Abe:
Versatile anomaly detection method for medical images with semi-supervised flow-based generative models. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2261-2267 (2021) - [j12]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) - [j11]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) - [c17]Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe, Shunrato Yada, Shoko Wakamiya, Eiji Aramaki:
Clinical Comparable Corpus Describing the Same Subjects with Different Expressions. MedInfo 2021: 253-257 - [i4]Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki:
KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records. CoRR abs/2101.00036 (2021) - [i3]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Osamu Abe:
X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model. CoRR abs/2104.04179 (2021) - 2020
- [j10]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) - [j9]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) - [i2]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Issei Sato, Naoto Hayashi, Osamu Abe:
Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method. CoRR abs/2001.07847 (2020) - [i1]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks. CoRR abs/2002.07317 (2020)
2010 – 2019
- 2019
- [j8]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) - [j7]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
- [c16]Issei Sato, Yukihiro Nomura, Shouhei Hanaoka, Soichiro Miki, Naoto Hayashi, Osamu Abe, Yoshitaka Masutani:
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition. KDD 2018: 695-704 - [c15]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
- [j6]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) - [j5]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) - [j4]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) - [j3]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) - [c14]Ryosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Masashi Sugiyama:
Lung lesion detection in FDG-PET/CT with Gaussian process regression. Medical Imaging: Computer-Aided Diagnosis 2017: 101340C - 2016
- [j2]Shiori Amemiya, Hidemasa Takao, Shohei Hanaoka, Kuni Ohtomo:
Global and structured waves of rs-fMRI signal identified as putative propagation of spontaneous neural activity. NeuroImage 133: 331-340 (2016) - [c13]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
- [c12]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
- [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]Shun Inagaki, Atsushi Imiya, Hidekata Hontani, Shohei Hanaoka, Yoshitaka Masutani:
Variational Method for Computing Average Images of Biological Organs. SSVM 2013: 440-451 - 2012
- [c6]Yoshitaka Masutani, Mitsutaka Nemoto, Shohei Hanaoka, Naoto Hayashi, Kuni Ohtomo:
Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images. ISVC (1) 2012: 12-21 - [c5]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
- [c4]Shohei Hanaoka, Karl D. Fritscher, Martin Welk, Mitsutaka Nemoto, Yoshitaka Masutani, Naoto Hayashi, Kuni Ohtomo, Rainer Schubert:
3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. MICCAI (3) 2011: 554-561 - [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 - [c2]Shouhei Hanaoka, Karl D. Fritscher, Benedikt Schuler, Yoshitaka Masutani, Naoto Hayashi, Kuni Ohtomo, Rainer Schubert:
Whole vertebral bone segmentation method with a statistical intensity-shape model based approach. Medical Imaging: Image Processing 2011: 796242 - 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) - [c1]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
Coauthor Index
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