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Naoto Hayashi
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2020 – today
- 2024
- [j20]Md. Ashraful Alam
, Shouhei Hanaoka
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) - [j19]Yukihiro Nomura
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) - [c17]Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. VISIGRAPP (2): VISAPP 2024: 528-535 - 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
- [j18]Tomomi Takenaga
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) - [j17]Yukihiro Nomura
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) - [j16]Hisaichi Shibata
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) - [j15]Takahiro Nakao
Unsupervised Deep Anomaly Detection in Chest Radiographs. J. Digit. Imaging 34(2): 418-427 (2021) - [j14]Yuta Nakamura
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers. BMC Medical Informatics Decis. Mak. 21(1): 262 (2021) - [c16]Yuta Nakamura
Clinical Comparable Corpus Describing the Same Subjects with Different Expressions. MedInfo 2021: 253-257 - [i4]Yuta Nakamura
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
- [j13]Yukihiro Nomura
Novel platform for development, training, and validation of computer-assisted detection/diagnosis software. Int. J. Comput. Assist. Radiol. Surg. 15(4): 661-672 (2020) - [j12]Yukihiro Nomura
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
- [j11]Tomomi Takenaga
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) - [j10]Shouhei Hanaoka
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
- [c15]Issei Sato, Yukihiro Nomura
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition. KDD 2018: 695-704 - [c14]Daisuke Sato, Shouhei Hanaoka, Yukihiro Nomura
A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes. Computer-Aided Diagnosis 2018: 105751P - 2017
- [j9]Shouhei Hanaoka
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) - [j8]Shouhei Hanaoka
Automatic detection of vertebral number abnormalities in body CT images. Int. J. Comput. Assist. Radiol. Surg. 12(5): 719-732 (2017) - [j7]Mitsutaka Nemoto
Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm. J. Digit. Imaging 30(5): 629-639 (2017) - [j6]Shouhei Hanaoka
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) - [c13]Ryosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura
Lung lesion detection in FDG-PET/CT with Gaussian process regression. Computer-Aided Diagnosis 2017: 101340C - 2016
- [c12]Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura
A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA. Computer-Aided Diagnosis 2016: 97852S - 2015
- [c11]Shouhei Hanaoka, Yukihiro Nomura
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection. MICCAI (2) 2015: 103-110 - 2014
- [j5]Hidemasa Takao
Effects of study design in multi-scanner voxel-based morphometry studies. NeuroImage 84: 133-140 (2014) - 2013
- [c10]Shouhei Hanaoka, Yoshitaka Masutani
A Multiple Anatomical Landmark Detection System for Body CT Images. CANDAR 2013: 308-311 - [c9]Mitsutaka Nemoto, Yoshitaka Masutani
Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method. CANDAR 2013: 316-319 - [c8]Yukihiro Nomura
Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment. CANDAR 2013: 320-323 - [c7]Mitsutaka Nemoto, Yoshitaka Masutani
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 2013: 866917 - 2012
- [j4]Masami Goto, Tosiaki Miyati
Repeatability of Measured Brain Volume by Atlas-Based Method Using T1-Weighted Image. J. Digit. Imaging 25(1): 173-178 (2012) - [c6]Yoshitaka Masutani
Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images. ISVC (1) 2012: 12-21 - [c5]Shohei Hanaoka, Yoshitaka Masutani
Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles. MICCAI (2) 2012: 106-113 - 2011
- [j3]Hidemasa Takao
Effect of scanner in asymmetry studies using diffusion tensor imaging. NeuroImage 54(2): 1053-1062 (2011) - [j2]Hidemasa Takao
Effect of head size on diffusion tensor imaging. NeuroImage 57(3): 958-967 (2011) - [c4]Shohei Hanaoka, Karl D. Fritscher, Martin Welk
3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. MICCAI (3) 2011: 554-561 - [c3]Mitsutaka Nemoto, Yoshitaka Masutani
A unified framework for concurrent detection of anatomical landmarks for medical image understanding. Image Processing 2011: 79623E - [c2]Shouhei Hanaoka, Karl D. Fritscher, Benedikt Schuler, Yoshitaka Masutani
Whole vertebral bone segmentation method with a statistical intensity-shape model based approach. 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
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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last updated on 2024-12-10 20:46 CET by the dblp team
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