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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, Dong Hye Ye:
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, 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: 1-4 - [c32]Ayush Kanyal, Srinivas Kandula, Vince D. Calhoun, Dong Hye Ye:
Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification. ICASSP Workshops 2023: 1-5 - 2022
- [j10]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): 3943 (2022) - [j9]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): 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, Dong Hye Ye:
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, Hang Hu, Julia Laskin, Dong Hye Ye:
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. Medical Imaging: Digital Pathology 2021 - [c25]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 - 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, 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 P. de Caestecker, 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 Anand 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): 187-192 (2019) - [j7]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): 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, 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): 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, Charles A. Bouman, Garth J. Simpson:
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, Max Ruby, Charles A. Bouman:
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, Charles A. Bouman:
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, 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: 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, 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): 359-374 (2016) - [c14]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: 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, 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 J. 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): 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, Dimitris N. Metaxas, Kilian M. Pohl:
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, Antonio Criminisi, Ender Konukoglu:
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. MICCAI (1) 2013: 606-613 - 2012
- [j2]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): 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, Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos:
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, Kilian M. Pohl:
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. Medical Imaging: Image Processing 2008: 691423
Coauthor Index
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