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Dong Hye Ye
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2020 – today
- 2024
- [c37]Nehpal S. Shekhawat, Sangmin Oh, Cristinel Ababei, Chung Hoon Lee, Dong Hye Ye:
Machine Learning Models for Prediction of Metal Ion Concentrations in Drinking Water. EIT 2024: 99-105 - [c36]Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye:
Deep Learning for Automated Detection of Breast Cancer in Deep Ultraviolet Fluorescence Images with Diffusion Probabilistic Model. ISBI 2024: 1-5 - [c35]Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye:
Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images. ISBI 2024: 1-5 - [c34]Badhan Mazumder, Ayush Kanyal, Lei Wu, Vince D. Calhoun, Dong Hye Ye:
Physics-Guided Multi-view Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling. PRIME@MICCAI 2024: 61-73 - [i10]Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye:
Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images. CoRR abs/2406.12683 (2024) - [i9]Teja Krishna Cherukuri, Nagur Shareef Shaik, Dong Hye Ye:
Guided Context Gating: Learning to leverage salient lesions in retinal fundus images. CoRR abs/2406.13126 (2024) - [i8]Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye:
M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation. CoRR abs/2406.13129 (2024) - [i7]Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye:
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model. CoRR abs/2407.00967 (2024) - [i6]Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye:
Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification. CoRR abs/2407.19385 (2024) - 2023
- [j11]David S. Helminiak
, Hang Hu, Julia Laskin
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging. IEEE Trans. Computational Imaging 9: 250-259 (2023) - [c33]Badhan Mazumder, Deepan Krishna Tripathy, Keith Owen Yeates, Miriam H. Beauchamp, William Craig, Quynh Doan
Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection. BHI 2023: 1-4 - [c32]Ayush Kanyal, Srinivas Kandula, Vince D. Calhoun
Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification. ICASSP Workshops 2023: 1-5 - 2022
- [j10]Jun-Hyeok Lee
Multi-Domain Neumann Network with Sensitivity Maps for Parallel MRI Reconstruction. Sensors 22(10): 3943 (2022) - [j9]Jing Li
Fast and Robust UAV to UAV Detection and Tracking From Video. IEEE Trans. Emerg. Top. Comput. 10(3): 1519-1531 (2022) - [c31]Tyrell To, Saba Heidari Gheshlaghi, Dong Hye Ye:
Deep Learning for Breast Cancer Classification of Deep Ultraviolet Fluorescence Images toward Intra-Operative Margin Assessment. EMBC 2022: 1891-1894 - [c30]Hongkun Yu, Thomas Florian, Vince D. Calhoun
Deep Learning From Imaging Genetics for Schizophrenia Classification. ICIP 2022: 3291-3295 - [i5]David S. Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye:
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging. CoRR abs/2210.13415 (2022) - 2021
- [c29]David S. Helminiak
Deep Learning Approach for Dynamic Sparse Sampling for High-Throughput Mass Spectrometry Imaging. Computational Imaging 2021 - [c28]Saba Heidari Gheshlaghi, Chi Nok Enoch Kan, Dong Hye Ye:
Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis. EMBC 2021: 3387-3390 - [c27]Chi Nok Enoch Kan, Richard J. Povinelli, Dong Hye Ye:
Enhancing Multi-Channel Eeg Classification with Gramian Temporal Generative Adversarial Networks. ICASSP 2021: 1260-1264 - [c26]Nathan Lang, Devansh Saxena, Tina Yen, Julie Jorns, Bing Yu, Dong Hye Ye:
Breast cancer magnification-independent multi-class histopathology classification using dual-step model. Digital Pathology 2021 - [c25]Chi Nok Enoch Kan, Taly Gilat Schmidt, Dong Hye Ye:
Enhancing reproductive organ segmentation in pediatric CT via adversarial learning. Image Processing 2021 - 2020
- [c24]Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye:
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. ISBI 2020: 109-112 - [c23]Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye:
Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands. PRIME@MICCAI 2020: 68-78 - [i4]Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye:
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. CoRR abs/2002.00011 (2020)
2010 – 2019
- 2019
- [j8]Michael P. Snyder
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nat. 574(7777): 187-192 (2019) - [j7]Zhiqian Chang
Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography. IEEE Trans. Medical Imaging 38(6): 1532-1542 (2019) - [c22]Benjamin J. Foster, Dong Hye Ye, Charles A. Bouman:
Multi-target tracking with an event-based vision sensor and a partial-update GMPHD filter. Computational Imaging 2019 - 2018
- [j6]G. M. Dilshan P. Godaliyadda
A Framework for Dynamic Image Sampling Based on Supervised Learning. IEEE Trans. Computational Imaging 4(1): 1-16 (2018) - [c21]Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava, Ken D. Sauer, Jean-Baptiste Thibault, Charles A. Bouman:
2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation. ACSSC 2018: 2044-2049 - [c20]Shijie Zhang, Zhengtian Song, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Atanu Sengupta, Gregery T. Buzzard
A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging. Computational Imaging 2018 - [c19]Dong Hye Ye, Jing Li, Qiulin Chen, Juan P. Wachs, Charles A. Bouman:
Deep Learning for Moving Object Detection and Tracking from a Single Camera in Unmanned Aerial Vehicles (UAVs). IMAWM 2018: 1-6 - [c18]Dong Hye Ye, Gregery T. Buzzard
Deep Back Projection for Sparse-View CT Reconstruction. GlobalSIP 2018: 1-5 - [c17]Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework. ICASSP 2018: 6668-6672 - [i3]Dong Hye Ye, Gregery T. Buzzard, Max Ruby
Deep Back Projection for Sparse-View CT Reconstruction. CoRR abs/1807.02370 (2018) - 2017
- [c16]Nicole M. Scarborough, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, David J. Kissick, Shijie Zhang, Justin A. Newman
Synchrotron X-Ray Diffraction Dynamic Sampling for Protein Crystal Centering. Computational Imaging 2017: 6-9 - [c15]Soumendu Majee, Dong Hye Ye, Gregery T. Buzzard, Charles A. Bouman:
A Model Based Neuron Detection Approach using Sparse Location Priors. Computational Imaging 2017: 10-17 - [i2]G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman:
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS). CoRR abs/1703.04653 (2017) - 2016
- [j5]Ruoqiao Zhang
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT. IEEE Trans. Computational Imaging 2(3): 359-374 (2016) - [c14]G. M. Dilshan Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber
A Supervised Learning Approach for Dynamic Sampling. Computational Imaging 2016: 1-8 - [c13]Jing Li, Dong Hye Ye, Timothy H. Chung, Mathias Kölsch, Juan P. Wachs, Charles A. Bouman:
Multi-target detection and tracking from a single camera in Unmanned Aerial Vehicles (UAVs). IROS 2016: 4992-4997 - [i1]Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT. CoRR abs/1605.04006 (2016) - 2015
- [j4]Bjoern H. Menze
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c12]Pengchong Jin, Dong Hye Ye, Charles A. Bouman:
Joint metal artifact reduction and segmentation of CT images using dictionary-based image prior and continuous-relaxed potts model. ICIP 2015: 798-802 - 2014
- [j3]Dong Hye Ye, Benoit Desjardins, Jihun Hamm, Harold Litt, Kilian M. Pohl
Regional Manifold Learning for Disease Classification. IEEE Trans. Medical Imaging 33(6): 1236-1247 (2014) - [c11]Dong Hye Ye, Benoit Desjardins, Victor Ferrari
Auto-encoding of discriminating morphometry from cardiac MRI. ISBI 2014: 217-221 - 2013
- [c10]Dong Hye Ye, Jihun Hamm, Benoit Desjardins, Kilian M. Pohl:
FLOOR: Fusing Locally Optimal Registrations. MICCAI (3) 2013: 195-202 - [c9]Dong Hye Ye, Darko Zikic, Ben Glocker
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. MICCAI (1) 2013: 606-613 - 2012
- [j2]Ender Konukoglu, Ben Glocker
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging 31(12): 2278-2289 (2012) - [c8]Dong Hye Ye, Jihun Hamm, Kilian M. Pohl:
Combining regional metrics for disease-related brain population analysis. ISBI 2012: 1515-1518 - [c7]Dong Hye Ye, Jihun Hamm, Dongjin Kwon, Christos Davatzikos, Kilian M. Pohl:
Regional Manifold Learning for Deformable Registration of Brain MR Images. MICCAI (3) 2012: 131-138 - [c6]Yangming Ou
Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration. WBIR 2012: 209-219 - 2011
- [c5]Dong Hye Ye, Harold Litt, Christos Davatzikos
Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot. FIMH 2011: 180-187 - [c4]Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos
Disease classification and prediction via semi-supervised dimensionality reduction. ISBI 2011: 1086-1090 - [c3]Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease. PRNI 2011: 1-4 - 2010
- [j1]Jihun Hamm, Dong Hye Ye, Ragini Verma, Christos Davatzikos
GRAM: A framework for geodesic registration on anatomical manifolds. Medical Image Anal. 14(5): 633-642 (2010) - [c2]Dong Hye Ye, Kilian M. Pohl, Harold Litt, Christos Davatzikos
Groupwise morphometric analysis based on high dimensional clustering. CVPR Workshops 2010: 47-54
2000 – 2009
- 2008
- [c1]Dong Hye Ye, Dongjin Kwon, Il Dong Yun, Sang Uk Lee:
Fast multiscale vessel enhancement filtering. Image Processing 2008: 691423
Coauthor Index
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last updated on 2024-11-28 21:24 CET by the dblp team
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