Greg Zaharchuk

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 45

Top Topics

Magnetic Resonance

Top Venues

IEEE Trans. Medical Imaging

Publications

Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk, Mohammad R. K. Mofrad
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Ramy Hussein, David D. Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Gary Steinberg, Michael E. Moseley, Greg Zaharchuk
Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks. Medical Image Anal. 93 (2024)
Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Keshav Datta, Greg Zaharchuk
One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. IEEE Trans. Medical Imaging 42 (9) (2023)
Dayang Wang, Srivathsa Pasumarthi, Greg Zaharchuk, Ryan Chamberlain
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model. MICCAI (8) (2023)
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
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Anal. 90 (2023)
Sophie Ostmeier, Brian Axelrod, Benjamin Pulli, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Yongkai Liu, Christian Federau, Greg Zaharchuk, Jeremy J. Heit
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT. CoRR (2023)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) (2023)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. CoRR (2023)
Dayang Wang, Srivathsa Pasumarthi, Greg Zaharchuk, Ryan Chamberlain
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model. CoRR (2023)
Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido Davidzon, Michael E. Moseley, Greg Zaharchuk
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. CoRR (2022)
Sophie Ostmeier, Jeremy J. Heit, Brian Axelrod, Li-Jia Li, Greg Zaharchuk, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Soren Christensen, Maarten G. Lansberg
Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists. CoRR (2022)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI. IEEE Trans. Medical Imaging 41 (10) (2022)
Ramy Hussein, David Shin, Moss Y. Zhao, Jia Guo, Guido Davidzon, Michael E. Moseley, Greg Zaharchuk
Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks. CoRR (2022)
Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido Davidzon, Michael E. Moseley, Greg Zaharchuk
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. ICPR (2022)
Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Greg Zaharchuk, Keshav Datta
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation. CoRR (2022)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. 82 (2022)
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
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data. Frontiers Neuroinformatics 16 (2022)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
Self-Supervised Longitudinal Neighbourhood Embedding. CoRR (2021)
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
O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit. NeuroImage 233 (2021)
Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
Representation Disentanglement for Multi-modal MR Analysis. CoRR (2021)
Dave Van Veen, Ben A. Duffy, Long Wang, Keshav Datta, Tao Zhang, Greg Zaharchuk, Enhao Gong
Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging. MLMIR@MICCAI (2021)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
Self-supervised Longitudinal Neighbourhood Embedding. MICCAI (2) (2021)
Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar
Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine 4 (2021)
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
Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. npj Digit. Medicine 4 (2021)
Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI (2021)
Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine 4 (2021)
Guanhua Wang, Enhao Gong, Suchandrima Banerjee, Dann Martin, Elizabeth Tong, Jay Choi, Huijun Chen, Max Wintermark, John M. Pauly, Greg Zaharchuk
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model. IEEE Trans. Medical Imaging 39 (10) (2020)
Audrey P. Fan, Hongyu An, Farshad Moradi, Jarrett Rosenberg, Yosuke Ishii, Tadashi Nariai, Hidehiko Okazawa, Greg Zaharchuk
O]-gas PET: A technical review in the era of PET/MRI. NeuroImage 220 (2020)
Benjamin Zahneisen, Kathrin Bäumler, Greg Zaharchuk, Dominik Fleischmann, Michael Zeineh
Deep flow-net for EPI distortion estimation. NeuroImage 217 (2020)
Lei Xiang, Long Wang, Enhao Gong, Greg Zaharchuk, Tao Zhang
Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss. MLMI@MICCAI (2020)
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. CoRR (2020)
Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk
Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. Medical Imaging: Image Processing (2020)
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization. CoRR (2020)
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. MIDL (2020)
Junshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly, Greg Zaharchuk
Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. Medical Imaging: Image Processing (2020)
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
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation. CoRR (2019)
Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging 38 (1) (2019)
Jiahong Ouyang, Guanhua Wang, Enhao Gong, Kevin Chen, John M. Pauly, Greg Zaharchuk
Task-GAN: Improving Generative Adversarial Network for Image Reconstruction. MLMIR@MICCAI (2019)
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
Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study. CoRR (2019)
Endre Grøvik, Darvin Yi, Michael Iv, Elisabeth Tong, Daniel L. Rubin, Greg Zaharchuk
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI. CoRR (2019)
Guanhua Wang, Enhao Gong, Suchandrima Banerjee, John M. Pauly, Greg Zaharchuk
Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network. MLMIR@MICCAI (2019)
Hesamoddin Jahanian, Thomas Christen, Michael E. Moseley, Greg Zaharchuk
Erroneous Resting-State fMRI Connectivity Maps Due to Prolonged Arterial Arrival Time and How to Fix Them. Brain Connect. 8 (6) (2018)
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
Quantitative susceptibility mapping using deep neural network: QSMnet. NeuroImage 179 (2018)
Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk
200x Low-dose PET Reconstruction using Deep Learning. CoRR (2017)
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
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR (2017)
Thomas Christen, N. A. Pannetier, Wendy W. Ni, Deqiang Qiu, Michael E. Moseley, Norbert Schuff, Greg Zaharchuk
MR vascular fingerprinting: A new approach to compute cerebral blood volume, mean vessel radius, and oxygenation maps in the human brain. NeuroImage 89 (2014)
Deqiang Qiu, Greg Zaharchuk, Thomas Christen, Wendy W. Ni, Michael E. Moseley
Contrast-enhanced functional blood volume imaging (CE-fBVI): Enhanced sensitivity for brain activation in humans using the ultrasmall superparamagnetic iron oxide agent ferumoxytol. NeuroImage 62 (3) (2012)