Dong Hye Ye

Orcid: 0000-0002-9186-4095

According to our database1, Dong Hye Ye authored at least 52 papers between 2008 and 2024.

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Bibliography

2024
Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification.
CoRR, 2024

M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation.
CoRR, 2024

Guided Context Gating: Learning to leverage salient lesions in retinal fundus images.
CoRR, 2024

Physics-Guided Multi-view Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling.
Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Deep Learning for Automated Detection of Breast Cancer in Deep Ultraviolet Fluorescence Images with Diffusion Probabilistic Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Machine Learning Models for Prediction of Metal Ion Concentrations in Drinking Water.
Proceedings of the IEEE International Conference on Electro Information Technology, 2024

2023
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging.
IEEE Trans. Computational Imaging, 2023

Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Fast and Robust UAV to UAV Detection and Tracking From Video.
IEEE Trans. Emerg. Top. Comput., 2022

Multi-Domain Neumann Network with Sensitivity Maps for Parallel MRI Reconstruction.
Sensors, 2022

Deep Learning From Imaging Genetics for Schizophrenia Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Learning for Breast Cancer Classification of Deep Ultraviolet Fluorescence Images toward Intra-Operative Margin Assessment.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Enhancing reproductive organ segmentation in pediatric CT via adversarial learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Breast cancer magnification-independent multi-class histopathology classification using dual-step model.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Enhancing Multi-Channel Eeg Classification with Gramian Temporal Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Learning Approach for Dynamic Sparse Sampling for High-Throughput Mass Spectrometry Imaging.
Proceedings of the Computational Imaging XIX, Virtual Event, 11-28 January 2021., 2021

2020
Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography.
IEEE Trans. Medical Imaging, 2019

The human body at cellular resolution: the NIH Human Biomolecular Atlas Program.
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Nat., 2019

Multi-target tracking with an event-based vision sensor and a partial-update GMPHD filter.
Proceedings of the Computational Imaging XVII, Burlingame, 2019

2018
A Framework for Dynamic Image Sampling Based on Supervised Learning.
IEEE Trans. Computational Imaging, 2018

Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Back Projection for Sparse-View CT Reconstruction.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Deep Learning for Moving Object Detection and Tracking from a Single Camera in Unmanned Aerial Vehicles (UAVs).
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2018, Burlingame, CA, USA, January 28, 2018

A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging.
Proceedings of the Computational Imaging XVI, Burlingame, 2018

2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS).
CoRR, 2017

Synchrotron X-Ray Diffraction Dynamic Sampling for Protein Crystal Centering.
Proceedings of the Computational Imaging XV, Burlingame, 2017

A Model Based Neuron Detection Approach using Sparse Location Priors.
Proceedings of the Computational Imaging XV, Burlingame, 2017

2016
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT.
IEEE Trans. Computational Imaging, 2016

Multi-target detection and tracking from a single camera in Unmanned Aerial Vehicles (UAVs).
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

A Supervised Learning Approach for Dynamic Sampling.
Proceedings of the Computational Imaging XIV, San Francisco, 2016

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 2015

Joint metal artifact reduction and segmentation of CT images using dictionary-based image prior and continuous-relaxed potts model.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Regional Manifold Learning for Disease Classification.
IEEE Trans. Medical Imaging, 2014

Auto-encoding of discriminating morphometry from cardiac MRI.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

FLOOR: Fusing Locally Optimal Registrations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity.
IEEE Trans. Medical Imaging, 2012

Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

Regional Manifold Learning for Deformable Registration of Brain MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Combining regional metrics for disease-related brain population analysis.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Disease classification and prediction via semi-supervised dimensionality reduction.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

2010
GRAM: A framework for geodesic registration on anatomical manifolds.
Medical Image Anal., 2010

Groupwise morphometric analysis based on high dimensional clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008
Fast multiscale vessel enhancement filtering.
Proceedings of the Medical Imaging 2008: Image Processing, 2008


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