Dong Hye Ye - RankMe

78 papers A* 1A 1B 6Misc 4Journal 34Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities. AAAI Nagur Shareef Shaik, Teja Krishna Cherukuri, Adnan Masood, Dong Hye Ye
2026	J	`jnl`	KOCOBrain: Kuramoto-Guided Graph Network for Uncovering Structure-Function Coupling in Adolescent Prenatal Drug Exposure. CoRR Badhan Mazumder, Lei Wu, Sir-Lord Wiafe, Vince D. Calhoun, Dong Hye Ye
2026	J	`jnl`	Learning Structural-Functional Brain Representations through Multi-Scale Adaptive Graph Attention for Cognitive Insight. CoRR Badhan Mazumder, Sir-Lord Wiafe, Aline Kotoski, Vince D. Calhoun, Dong Hye Ye
2026	J	`jnl`	NeuroBRIDGE: Behavior-Conditioned Koopman Dynamics with Riemannian Alignment for Early Substance Use Initiation Prediction from Longitudinal Functional Connectome. CoRR Badhan Mazumder, Sir-Lord Wiafe, Vince D. Calhoun, Dong Hye Ye
2026	J	`jnl`	Self-learned representation-guided latent diffusion model for breast cancer classification in deep ultraviolet whole surface images. CoRR Pouya Afshin, David S. Helminiak, Tianling Niu, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye
2025	J	`jnl`	A preliminary attempt to harmonize using physics-constrained deep neural networks for multisite and multiscanner MRI datasets (PhyCHarm). NeuroImage Gawon Lee, Dong Hye Ye, Se-Hong Oh
2025	J	`jnl`	Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework. CoRR Pouya Afshin, David S. Helminiak, Tongtong Lu, Tina Yen, Julie Jorns, Mollie Patton, Bing Yu, Dong Hye Ye
2025	J	`jnl`	DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities. CoRR Nagur Shareef Shaik, Teja Krishna Cherukuri, Adnan Masood, Dong Hye Ye
2025	J	`jnl`	Dynamic Contextual Attention Network: Transforming Spatial Representations into Adaptive Insights for Endoscopic Polyp Diagnosis. CoRR Teja Krishna Cherukuri, Nagur Shareef Shaik, Sribhuvan Reddy Yellu, Jun-Won Chung, Dong Hye Ye
2025	Misc	`conf`	GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning. ICASSP Teja Krishna Cherukuri, Nagur Shareef Shaik, Jyostna Devi Bodapati, Dong Hye Ye
2025	—	`conf`	Genetics Encoded Joint Embedding of Multimodal Connectomes with Explainable Graph Neural Network for Schizophrenia Classification. ISBI Badhan Mazumder, Lei Wu, Vince D. Calhoun, Dong Hye Ye
2025	—	`conf`	Multi-Modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification. ISBI Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye
2025	J	`jnl`	NeuroKoop: Neural Koopman Fusion of Structural-Functional Connectomes for Identifying Prenatal Drug Exposure in Adolescents. CoRR Badhan Mazumder, Aline Kotoski, Vince D. Calhoun, Dong Hye Ye
2025	J	`jnl`	Ordinal Label-Distribution Learning with Constrained Asymmetric Priors for Imbalanced Retinal Grading. CoRR Nagur Shareef Shaik, Teja Krishna Cherukuri, Adnan Masood, Ehsan Adeli, Dong Hye Ye
2025	J	`jnl`	Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling. CoRR Badhan Mazumder, Ayush Kanyal, Lei Wu, Vince D. Calhoun, Dong Hye Ye
2025	J	`jnl`	Unified Cross-Modal Attention-Mixer Based Structural-Functional Connectomics Fusion for Neuropsychiatric Disorder Diagnosis. CoRR Badhan Mazumder, Lei Wu, Vince D. Calhoun, Dong Hye Ye
2024	—	`conf`	Deep Learning for Automated Detection of Breast Cancer in Deep Ultraviolet Fluorescence Images with Diffusion Probabilistic Model. ISBI Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye
2024	J	`jnl`	Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model. CoRR Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye
2024	J	`jnl`	GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning. CoRR Teja Krishna Cherukuri, Nagur Shareef Shaik, Jyostna Devi Bodapati, Dong Hye Ye
2024	B	`conf`	Guided Context Gating: Learning To Leverage Salient Lesions in Retinal Fundus Images. ICIP Teja Krishna Cherukuri, Nagur Shareef Shaik, Dong Hye Ye
2024	J	`jnl`	Guided Context Gating: Learning to leverage salient lesions in retinal fundus images. CoRR Teja Krishna Cherukuri, Nagur Shareef Shaik, Dong Hye Ye
2024	B	`conf`	M3T: Multi-Modal Medical Transformer To Bridge Clinical Context With Visual Insights For Retinal Image Medical Description Generation. ICIP Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye
2024	J	`jnl`	M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation. CoRR Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye
2024	—	`conf`	Machine Learning Models for Prediction of Metal Ion Concentrations in Drinking Water. EIT Nehpal S. Shekhawat, Sangmin Oh, Cristinel Ababei, Chung Hoon Lee, Dong Hye Ye
2024	J	`jnl`	Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification. CoRR Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye
2024	—	`conf`	Physics-Guided Multi-view Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling. PRIME@MICCAI Badhan Mazumder, Ayush Kanyal, Lei Wu, Vince D. Calhoun, Dong Hye Ye
2024	—	`conf`	Scepter: Weakly Supervised Framework for Spatiotemporal Dense Prediction of 4D Dynamic Brain Networks. EMBC Behnam Kazemivash, Pranav Suresh, Jingyu Liu, Dong Hye Ye, Vince D. Calhoun
2024	—	`conf`	Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images. ISBI Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye
2024	J	`jnl`	Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images. CoRR Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye
2023	J	`jnl`	Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging. IEEE Trans. Computational Imaging David S. Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye
2023	—	`conf`	Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification. ICASSP Workshops Ayush Kanyal, Srinivas Kandula, Vince D. Calhoun, Dong Hye Ye
2023	—	`conf`	Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection. BHI 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
2022	J	`jnl`	Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging. CoRR David S. Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye
2022	B	`conf`	Deep Learning From Imaging Genetics for Schizophrenia Classification. ICIP Hongkun Yu, Thomas Florian, Vince D. Calhoun, Dong Hye Ye
2022	—	`conf`	Deep Learning for Breast Cancer Classification of Deep Ultraviolet Fluorescence Images toward Intra-Operative Margin Assessment. EMBC Tyrell To, Saba Heidari Gheshlaghi, Dong Hye Ye
2022	J	`jnl`	Fast and Robust UAV to UAV Detection and Tracking From Video. IEEE Trans. Emerg. Top. Comput. Jing Li, Dong Hye Ye, Mathias Kolsch, Juan P. Wachs, Charles A. Bouman
2022	J	`jnl`	Multi-Domain Neumann Network with Sensitivity Maps for Parallel MRI Reconstruction. Sensors Jun-Hyeok Lee, Junghwa Kang, Se-Hong Oh, Dong Hye Ye
2021	—	`conf`	Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis. EMBC Saba Heidari Gheshlaghi, Chi Nok Enoch Kan, Dong Hye Ye
2021	—	`conf`	Breast cancer magnification-independent multi-class histopathology classification using dual-step model. Digital Pathology Nathan Lang, Devansh Saxena, Tina Yen, Julie Jorns, Bing Yu, Dong Hye Ye
2021	—	`conf`	Deep Learning Approach for Dynamic Sparse Sampling for High-Throughput Mass Spectrometry Imaging. Computational Imaging David S. Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye
2021	Misc	`conf`	Enhancing Multi-Channel Eeg Classification with Gramian Temporal Generative Adversarial Networks. ICASSP Chi Nok Enoch Kan, Richard J. Povinelli, Dong Hye Ye
2021	B	`conf`	Enhancing reproductive organ segmentation in pediatric CT via adversarial learning. Image Processing Chi Nok Enoch Kan, Taly Gilat Schmidt, Dong Hye Ye
2020	—	`conf`	Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. ISBI Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye
2020	J	`jnl`	Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. CoRR Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye
2020	—	`conf`	Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands. PRIME@MICCAI Dong Kyu Won, Sion An, Sang Hyun Park, Dong Hye Ye
2019	—	`conf`	Multi-target tracking with an event-based vision sensor and a partial-update GMPHD filter. Computational Imaging Benjamin J. Foster, Dong Hye Ye, Charles A. Bouman
2019	J	`jnl`	Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography. IEEE Trans. Medical Imaging Zhiqian Chang, Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2019	J	`jnl`	The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nat. 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
2018	Misc	`conf`	2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation. ACSSC Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava, Ken D. Sauer, Jean-Baptiste Thibault, Charles A. Bouman
2018	J	`jnl`	A Framework for Dynamic Image Sampling Based on Supervised Learning. IEEE Trans. Computational Imaging G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman
2018	—	`conf`	A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging. Computational Imaging Shijie Zhang, Zhengtian Song, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Atanu Sengupta, Gregery T. Buzzard, Charles A. Bouman, Garth J. Simpson
2018	—	`conf`	Deep Back Projection for Sparse-View CT Reconstruction. GlobalSIP Dong Hye Ye, Gregery T. Buzzard, Max Ruby, Charles A. Bouman
2018	J	`jnl`	Deep Back Projection for Sparse-View CT Reconstruction. CoRR Dong Hye Ye, Gregery T. Buzzard, Max Ruby, Charles A. Bouman
2018	—	`conf`	Deep Learning for Moving Object Detection and Tracking from a Single Camera in Unmanned Aerial Vehicles (UAVs). IMAWM Dong Hye Ye, Jing Li, Qiulin Chen, Juan P. Wachs, Charles A. Bouman
2018	Misc	`conf`	Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework. ICASSP Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2017	J	`jnl`	A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS). CoRR G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman
2017	—	`conf`	A Model Based Neuron Detection Approach using Sparse Location Priors. Computational Imaging Soumendu Majee, Dong Hye Ye, Gregery T. Buzzard, Charles A. Bouman
2017	—	`conf`	Synchrotron X-Ray Diffraction Dynamic Sampling for Protein Crystal Centering. Computational Imaging 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
2016	J	`jnl`	A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT. IEEE Trans. Computational Imaging Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2016	J	`jnl`	A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT. CoRR Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2016	—	`conf`	A Supervised Learning Approach for Dynamic Sampling. Computational Imaging G. M. Dilshan Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman
2016	A	`conf`	Multi-target detection and tracking from a single camera in Unmanned Aerial Vehicles (UAVs). IROS Jing Li, Dong Hye Ye, Timothy H. Chung, Mathias Kölsch, Juan P. Wachs, Charles A. Bouman
2015	B	`conf`	Joint metal artifact reduction and segmentation of CT images using dictionary-based image prior and continuous-relaxed potts model. ICIP Pengchong Jin, Dong Hye Ye, Charles A. Bouman
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 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
2014	—	`conf`	Auto-encoding of discriminating morphometry from cardiac MRI. ISBI Dong Hye Ye, Benoit Desjardins, Victor Ferrari, Dimitris N. Metaxas, Kilian M. Pohl
2014	J	`jnl`	Regional Manifold Learning for Disease Classification. IEEE Trans. Medical Imaging Dong Hye Ye, Benoit Desjardins, Jihun Hamm, Harold Litt, Kilian M. Pohl
2013	—	`conf`	FLOOR: Fusing Locally Optimal Registrations. MICCAI (3) Dong Hye Ye, Jihun Hamm, Benoit Desjardins, Kilian M. Pohl
2013	—	`conf`	Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. MICCAI (1) Dong Hye Ye, Darko Zikic, Ben Glocker, Antonio Criminisi, Ender Konukoglu
2012	—	`conf`	Combining regional metrics for disease-related brain population analysis. ISBI Dong Hye Ye, Jihun Hamm, Kilian M. Pohl
2012	J	`jnl`	Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M. Pohl
2012	—	`conf`	Regional Manifold Learning for Deformable Registration of Brain MR Images. MICCAI (3) Dong Hye Ye, Jihun Hamm, Dongjin Kwon, Christos Davatzikos, Kilian M. Pohl
2012	—	`conf`	Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration. WBIR Yangming Ou, Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
2011	—	`conf`	Disease classification and prediction via semi-supervised dimensionality reduction. ISBI Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos
2011	—	`conf`	Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot. FIMH Dong Hye Ye, Harold Litt, Christos Davatzikos, Kilian M. Pohl
2011	—	`conf`	Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease. PRNI Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
2010	J	`jnl`	GRAM: A framework for geodesic registration on anatomical manifolds. Medical Image Anal. Jihun Hamm, Dong Hye Ye, Ragini Verma, Christos Davatzikos
2010	—	`conf`	Groupwise morphometric analysis based on high dimensional clustering. CVPR Workshops Dong Hye Ye, Kilian M. Pohl, Harold Litt, Christos Davatzikos
2008	B	`conf`	Fast multiscale vessel enhancement filtering. Image Processing Dong Hye Ye, Dongjin Kwon, Il Dong Yun, Sang Uk Lee