Shohei Hanaoka
Orcid: 0000-0002-7496-1651
According to our database1,
Shohei Hanaoka
authored at least 48 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets.
Int. J. Comput. Assist. Radiol. Surg., October, 2024
Performance changes due to differences among annotating radiologists for training data in computerized lesion detection.
Int. J. Comput. Assist. Radiol. Surg., August, 2024
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., March, 2024
Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based Aggregation.
CoRR, 2024
Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging.
CoRR, 2024
Data Set Terminology of Artificial Intelligence in Medicine: A Historical Review and Recommendation.
CoRR, 2024
2023
Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks.
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
CoRR, 2022
Aging prediction using deep generative model toward the development of preventive medicine.
CoRR, 2022
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection.
CoRR, 2022
2021
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.
BMC Medical Informatics Decis. Mak., 2021
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, 2021
KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records.
CoRR, 2021
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., 2021
Versatile anomaly detection method for medical images with semi-supervised flow-based generative models.
Int. J. Comput. Assist. Radiol. Surg., 2021
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning.
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
2020
Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization.
J. Supercomput., 2020
CoRR, 2020
Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method.
CoRR, 2020
Novel platform for development, training, and validation of computer-assisted detection/diagnosis software.
Int. J. Comput. Assist. Radiol. Surg., 2020
2019
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI.
Int. J. Comput. Assist. Radiol. Surg., 2019
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., 2019
2018
A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization.
Medical Image Anal., 2017
Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm.
J. Digit. Imaging, 2017
Int. J. Comput. Assist. Radiol. Surg., 2017
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., 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Global and structured waves of rs-fMRI signal identified as putative propagation of spontaneous neural activity.
NeuroImage, 2016
A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
2015
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment.
Proceedings of the First International Symposium on Computing and Networking, 2013
Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method.
Proceedings of the First International Symposium on Computing and Networking, 2013
Proceedings of the First International Symposium on Computing and Networking, 2013
2012
Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012
2011
A unified framework for concurrent detection of anatomical landmarks for medical image understanding.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Whole vertebral bone segmentation method with a statistical intensity-shape model based approach.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Trans. Mass Data Anal. Images Signals, 2010
Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010