Greg Zaharchuk

51 papers A* 1B 3Journal 37Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	COPE: Chain-Of-Thought Prediction Engine for Open-Source Large Language Model Based Stroke Outcome Prediction from Clinical Notes. CoRR Yongkai Liu, Helena Feng, Bin Jiang, Yixin Wang, Max Wintermark, David S. Liebeskind, Michael E. Moseley, Maarten G. Lansberg, Gregory W. Albers, Jeremy J. Heit, Greg Zaharchuk
2025	J	`jnl`	Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients. CoRR JiaQi Wu, Jiahong Ouyang, Farshad Moradi, Mohammad Mehdi Khalighi, Greg Zaharchuk
2025	A*	`conf`	Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis. ICML Dayang Wang, Srivathsa Pasumarthi, Ajit Shankaranarayanan, Greg Zaharchuk
2024	J	`jnl`	Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment. BMC Medical Informatics Decis. Mak. Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk, Mohammad R. K. Mofrad
2024	—	`conf`	SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. MICCAI (2) Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
2024	J	`jnl`	Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks. Medical Image Anal. Ramy Hussein, David D. Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Gary Steinberg, Michael E. Moseley, Greg Zaharchuk
2023	—	`conf`	LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
2023	J	`jnl`	LSOR: Longitudinally-Consistent Self-Organized Representation Learning. CoRR Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
2023	J	`jnl`	One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. IEEE Trans. Medical Imaging Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Keshav Datta, Greg Zaharchuk
2023	J	`jnl`	Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT. CoRR Sophie Ostmeier, Brian Axelrod, Benjamin Pulli, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Yongkai Liu, Christian Federau, Greg Zaharchuk, Jeremy J. Heit
2023	—	`conf`	Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model. MICCAI (8) Dayang Wang, Srivathsa Pasumarthi, Greg Zaharchuk, Ryan Chamberlain
2023	J	`jnl`	Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model. CoRR Dayang Wang, Srivathsa Pasumarthi, Greg Zaharchuk, Ryan Chamberlain
2023	J	`jnl`	USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Anal. Sophie Ostmeier, Brian Axelrod, Fabian Isensee, Jeroen Bertels, Michael Mlynash, Soren Christensen, Maarten G. Lansberg, Gregory W. Albers, Rajen Sheth, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit
2022	J	`jnl`	2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data. Frontiers Neuroinformatics Jon André Ottesen, Darvin Yi, Elizabeth Tong, Michael Iv, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Atle Bjørnerud, Greg Zaharchuk, Endre Grøvik
2022	J	`jnl`	Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks. CoRR Ramy Hussein, David Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk
2022	J	`jnl`	Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI. IEEE Trans. Medical Imaging Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
2022	B	`conf`	Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. ICPR Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk
2022	J	`jnl`	Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. CoRR Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk
2022	J	`jnl`	Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists. CoRR Sophie Ostmeier, Jeremy J. Heit, Brian Axelrod, Li-Jia Li, Greg Zaharchuk, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Soren Christensen, Maarten G. Lansberg
2022	J	`jnl`	One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation. CoRR Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Greg Zaharchuk, Keshav Datta
2022	J	`jnl`	Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
2021	J	`jnl`	Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar
2021	J	`jnl`	Cerebrovascular reactivity measurements using simultaneous NeuroImage Moss Y. Zhao, Audrey P. Fan, David Yen-Ting Chen, Magdalena J. Sokolska, Jia Guo, Yosuke Ishii, David D. Shin, Mohammad Mehdi Khalighi, Dawn Holley, Kim Halbert, Andrea Otte, Brittney Williams, Taghi Rostami, Jun-Hyung Park, Bin Shen, Greg Zaharchuk
2021	J	`jnl`	Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. npj Digit. Medicine Endre Grøvik, Darvin Yi, Michael Iv, Elizabeth Tong, Line Brennhaug Nilsen, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Greg Zaharchuk
2021	J	`jnl`	Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar
2021	—	`conf`	Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging. MLMIR@MICCAI Dave Van Veen, Ben A. Duffy, Long Wang, Keshav Datta, Tao Zhang, Greg Zaharchuk, Enhao Gong
2021	—	`conf`	Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
2021	J	`jnl`	Representation Disentanglement for Multi-modal MR Analysis. CoRR Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
2021	J	`jnl`	Self-Supervised Longitudinal Neighbourhood Embedding. CoRR Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
2021	—	`conf`	Self-supervised Longitudinal Neighbourhood Embedding. MICCAI (2) Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
2020	—	`conf`	Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. MIDL Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
2020	J	`jnl`	Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. CoRR Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
2020	J	`jnl`	Deep flow-net for EPI distortion estimation. NeuroImage Benjamin Zahneisen, Kathrin Bäumler, Greg Zaharchuk, Dominik Fleischmann, Michael Zeineh
2020	B	`conf`	Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. Image Processing Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk
2020	—	`conf`	Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss. MLMI@MICCAI Lei Xiang, Long Wang, Enhao Gong, Greg Zaharchuk, Tao Zhang
2020	J	`jnl`	Quantification of brain oxygen extraction and metabolism with [ NeuroImage Audrey P. Fan, Hongyu An, Farshad Moradi, Jarrett Rosenberg, Yosuke Ishii, Tadashi Nariai, Hidehiko Okazawa, Greg Zaharchuk
2020	J	`jnl`	Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization. CoRR Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
2020	J	`jnl`	Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model. IEEE Trans. Medical Imaging Guanhua Wang, Enhao Gong, Suchandrima Banerjee, Dann Martin, Elizabeth Tong, Jay Choi, Huijun Chen, Max Wintermark, John M. Pauly, Greg Zaharchuk
2020	B	`conf`	Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. Image Processing Junshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly, Greg Zaharchuk
2019	—	`conf`	Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network. MLMIR@MICCAI Guanhua Wang, Enhao Gong, Suchandrima Banerjee, John M. Pauly, Greg Zaharchuk
2019	J	`jnl`	Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly
2019	J	`jnl`	Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI. CoRR Endre Grøvik, Darvin Yi, Michael Iv, Elisabeth Tong, Daniel L. Rubin, Greg Zaharchuk
2019	J	`jnl`	Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study. CoRR Endre Grøvik, Darvin Yi, Michael Iv, Elizabeth Tong, Line Brennhaug Nilsen, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Greg Zaharchuk
2019	J	`jnl`	MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation. CoRR Darvin Yi, Endre Grøvik, Michael Iv, Elisabeth Tong, Kyrre Eeg Emblem, Line Brennhaug Nilsen, Cathrine Saxhaug, Anna Latysheva, Kari Dolven Jacobsen, Åslaug Helland, Greg Zaharchuk, Daniel L. Rubin
2019	—	`conf`	Task-GAN: Improving Generative Adversarial Network for Image Reconstruction. MLMIR@MICCAI Jiahong Ouyang, Guanhua Wang, Enhao Gong, Kevin Chen, John M. Pauly, Greg Zaharchuk
2018	J	`jnl`	Erroneous Resting-State fMRI Connectivity Maps Due to Prolonged Arterial Arrival Time and How to Fix Them. Brain Connect. Hesamoddin Jahanian, Thomas Christen, Michael E. Moseley, Greg Zaharchuk
2018	J	`jnl`	Quantitative susceptibility mapping using deep neural network: QSMnet. NeuroImage Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgic, Jin-Gu Lee, Woojin Jung, Jingyu Ko, Hosan Jung, Kawin Setsompop, Greg Zaharchuk, Eung-Yeop Kim, John M. Pauly, Jongho Lee
2017	J	`jnl`	200x Low-dose PET Reconstruction using Deep Learning. CoRR Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk
2017	J	`jnl`	Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus T. Alley, Neil Thakur, Song Han, William J. Dally, John M. Pauly, Lei Xing
2014	J	`jnl`	MR vascular fingerprinting: A new approach to compute cerebral blood volume, mean vessel radius, and oxygenation maps in the human brain. NeuroImage Thomas Christen, N. A. Pannetier, Wendy W. Ni, Deqiang Qiu, Michael E. Moseley, Norbert Schuff, Greg Zaharchuk
2012	J	`jnl`	Contrast-enhanced functional blood volume imaging (CE-fBVI): Enhanced sensitivity for brain activation in humans using the ultrasmall superparamagnetic iron oxide agent ferumoxytol. NeuroImage Deqiang Qiu, Greg Zaharchuk, Thomas Christen, Wendy W. Ni, Michael E. Moseley