Dong Hye Ye

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 39

Top Topics

Artifact Reduction

Top Venues

Computational Imaging

IEEE Trans. Medical Imaging

IEEE Trans. Computational Imaging

Publications

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 (2024)
Teja Krishna Cherukuri, Nagur Shareef Shaik, Dong Hye Ye
Guided Context Gating: Learning to leverage salient lesions in retinal fundus images. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2024)
Badhan Mazumder, Deepan Krishna Tripathy, Keith Owen Yeates, Miriam H. Beauchamp, William Craig, Quynh Doan, Stephen B. Freedman, Catherine Lebel, Roger Zemek, Ashley L. Ware, Dong Hye Ye
Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection. BHI (2023)
Ayush Kanyal, Srinivas Kandula, Vince D. Calhoun, Dong Hye Ye
Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification. ICASSP Workshops (2023)
David S. Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging. IEEE Trans. Computational Imaging 9 (2023)
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)
Hongkun Yu, Thomas Florian, Vince D. Calhoun, Dong Hye Ye
Deep Learning From Imaging Genetics for Schizophrenia Classification. ICIP (2022)
David Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging. CoRR (2022)
Jun-Hyeok Lee, Junghwa Kang, Se-Hong Oh, Dong Hye Ye
Multi-Domain Neumann Network with Sensitivity Maps for Parallel MRI Reconstruction. Sensors 22 (10) (2022)
Jing Li, Dong Hye Ye, Mathias Kolsch, Juan P. Wachs, Charles A. Bouman
Fast and Robust UAV to UAV Detection and Tracking From Video. IEEE Trans. Emerg. Top. Comput. 10 (3) (2022)
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. Medical Imaging: Digital Pathology (2021)
David Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye
Deep Learning Approach for Dynamic Sparse Sampling for High-Throughput Mass Spectrometry Imaging. Computational Imaging (2021)
Saba Heidari Gheshlaghi, Chi Nok Enoch Kan, Dong Hye Ye
Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis. EMBC (2021)
Chi Nok Enoch Kan, Richard J. Povinelli, Dong Hye Ye
Enhancing Multi-Channel Eeg Classification with Gramian Temporal Generative Adversarial Networks. ICASSP (2021)
Chi Nok Enoch Kan, Taly Gilat Schmidt, Dong Hye Ye
Enhancing reproductive organ segmentation in pediatric CT via adversarial learning. Medical Imaging: Image Processing (2021)
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)
Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. CoRR (2020)
Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. ISBI (2020)
Zhiqian Chang, Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography. IEEE Trans. Medical Imaging 38 (6) (2019)
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)
Michael P. Snyder, Shin Lin, Amanda Posgai, Mark Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt-Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar-Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Long Cai, Cole Trapnell, Dana Jackson, Garry P. Nolan, William James Greenleaf, Sylvia K. Plevritis, Sara Ahadi, Stephanie A. Nevins, Hayan Lee, Christian Martijn Schuerch, Sarah Black, Vishal Gautham Venkataraaman, Ed Esplin, Aaron Horning, Amir Bahmani, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Bernd Bodenmiller, Todd Brusko, Michael Clare-Salzler, Harry Nick, Kevin Otto, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond Harris, Mark deCaestecker, Agnes B. Fogo, Raf Van de Plas, Ken Lau, Guo-Cheng Yuan, Qian Zhu, Ruben Dries, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Dong Hye Ye, Kristin E. Burnum-Johnson, Paul D. Piehowski, Charles Ansong, Ying Zhu, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Sarah A. Teichmann, Benedict Paten, Robert F. Murphy, Jian Ma, Vladimir Yu. Kiselev, Carl Kingsford, Allyson Ricarte, Maria Keays, Sushma A. Akoju, Matthew Ruffalo, Margaret Vella, Chuck McCallum, Leonard E. Cross, Samuel H. Friedman, Randy W. Heiland, Bruce William Herr II, Paul Macklin, Ellen M. Quardokus, Lisel Record, James P. Sluka, Griffin M. Weber, Philip D. Blood, Alexander Ropelewski, William Shirey, Robin M. Scibek, Paula M. Mabee, W. Christopher Lenhardt, Kimberly Robasky, Stavros Michailidis, John C. Marioni, Andrew Butler, Tim Stuart, Eyal Fisher, Shila Ghazanfar, Gökcen Eraslan, Tommaso Biancalani, Eeshit D. Vaishnav, Pothur Srinivas, Aaron Pawlyk, Salvatore Sechi, Elizabeth L. Wilder, James Anderson
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nat. 574 (7777) (2019)
Dong Hye Ye, Gregery T. Buzzard, Max Ruby, Charles A. Bouman
Deep Back Projection for Sparse-View CT Reconstruction. GlobalSIP (2018)
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)
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. IEEE Trans. Computational Imaging 4 (1) (2018)
Dong Hye Ye, Gregery T. Buzzard, Max Ruby, Charles A. Bouman
Deep Back Projection for Sparse-View CT Reconstruction. CoRR (2018)
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)
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)
Shijie Zhang, Zhengtian Song, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Atanu Sengupta, Gregery T. Buzzard, Charles A. Bouman, Garth J. Simpson
A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging. Computational Imaging (2018)
Soumendu Majee, Dong Hye Ye, Gregery T. Buzzard, Charles A. Bouman
A Model Based Neuron Detection Approach using Sparse Location Priors. Computational Imaging (2017)
Nicole M. Scarborough, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, David J. Kissick, Shijie Zhang, Justin A. Newman, Michael J. Sheedlo, Azhad Chowdhury, Robert F. Fischetti, Chittaranjan Das, Gregery T. Buzzard, Charles A. Bouman, Garth J. Simpson
Synchrotron X-Ray Diffraction Dynamic Sampling for Protein Crystal Centering. Computational Imaging (2017)
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 (2017)
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 (2016)
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)
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. IEEE Trans. Computational Imaging 2 (3) (2016)
G. M. Dilshan Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman
A Supervised Learning Approach for Dynamic Sampling. Computational Imaging (2016)
Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34 (10) (2015)
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)
Dong Hye Ye, Benoit Desjardins, Victor Ferrari, Dimitris N. Metaxas, Kilian M. Pohl
Auto-encoding of discriminating morphometry from cardiac MRI. ISBI (2014)
Dong Hye Ye, Benoit Desjardins, Jihun Hamm, Harold Litt, Kilian M. Pohl
Regional Manifold Learning for Disease Classification. IEEE Trans. Medical Imaging 33 (6) (2014)
Dong Hye Ye, Jihun Hamm, Benoit Desjardins, Kilian M. Pohl
FLOOR: Fusing Locally Optimal Registrations. MICCAI (3) (2013)
Dong Hye Ye, Darko Zikic, Ben Glocker, Antonio Criminisi, Ender Konukoglu
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. MICCAI (1) (2013)
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)
Dong Hye Ye, Jihun Hamm, Kilian M. Pohl
Combining regional metrics for disease-related brain population analysis. ISBI (2012)
Yangming Ou, Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration. WBIR (2012)
Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M. Pohl
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging 31 (12) (2012)
Dong Hye Ye, Harold Litt, Christos Davatzikos, Kilian M. Pohl
Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot. FIMH (2011)
Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease. PRNI (2011)
Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos
Disease classification and prediction via semi-supervised dimensionality reduction. ISBI (2011)
Dong Hye Ye, Kilian M. Pohl, Harold Litt, Christos Davatzikos
Groupwise morphometric analysis based on high dimensional clustering. CVPR Workshops (2010)
Jihun Hamm, Dong Hye Ye, Ragini Verma, Christos Davatzikos
GRAM: A framework for geodesic registration on anatomical manifolds. Medical Image Anal. 14 (5) (2010)
Dong Hye Ye, Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Fast multiscale vessel enhancement filtering. Medical Imaging: Image Processing (2008)