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2020 – today
- 2024
[j19]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: 103072 (2024)- [j18]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): 40 (2024) - [c13]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. MICCAI (2) 2024: 400-410 - 2023
- [j17]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: 102927 (2023) - [j16]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): 2577-2591 (2023) - [c12]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: 88-98 - [c11]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) 2023: 279-289 - [i16]Dayang Wang, Srivathsa Pasumarthi, Greg Zaharchuk, Ryan Chamberlain:
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model. CoRR abs/2307.11980 (2023) - [i15]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 abs/2309.03930 (2023) - [i14]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. CoRR abs/2310.00213 (2023) - 2022
- [j15]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) - [j14]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. 82: 102571 (2022) - [j13]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): 2558-2569 (2022) - [c10]Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk:
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. ICPR 2022: 4306-4312 - [i13]Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk:
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. CoRR abs/2202.06142 (2022) - [i12]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 abs/2204.13738 (2022) - [i11]Ramy Hussein, David Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk:
Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks. CoRR abs/2211.12082 (2022) - [i10]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 abs/2211.15341 (2022) - 2021
- [j12]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:
Cerebrovascular reactivity measurements using simultaneous 15O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit. NeuroImage 233: 117955 (2021) - [j11]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) - [j10]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) - [j9]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) - [c9]Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI 2021: 321-333 - [c8]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl:
Self-supervised Longitudinal Neighbourhood Embedding. MICCAI (2) 2021: 80-89 - [c7]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: 109-119 - [i9]Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal MR Analysis. CoRR abs/2102.11456 (2021) - [i8]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl:
Self-Supervised Longitudinal Neighbourhood Embedding. CoRR abs/2103.03840 (2021) - 2020
- [j8]Benjamin Zahneisen, Kathrin Bäumler, Greg Zaharchuk, Dominik Fleischmann, Michael Zeineh:
Deep flow-net for EPI distortion estimation. NeuroImage 217: 116886 (2020) - [j7]Audrey P. Fan, Hongyu An, Farshad Moradi, Jarrett Rosenberg, Yosuke Ishii, Tadashi Nariai, Hidehiko Okazawa, Greg Zaharchuk:
Quantification of brain oxygen extraction and metabolism with [15O]-gas PET: A technical review in the era of PET/MRI. NeuroImage 220: 117136 (2020) - [j6]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): 3089-3099 (2020) - [c6]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: 654-662 - [c5]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: 867-880 - [c4]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: 113130M - [c3]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: 113131P - [i7]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 abs/2001.09501 (2020) - [i6]Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin:
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization. CoRR abs/2002.09809 (2020)
2010 – 2019
- 2019
- [j5]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): 167-179 (2019) - [c2]Guanhua Wang, Enhao Gong, Suchandrima Banerjee, John M. Pauly, Greg Zaharchuk:
Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network. MLMIR@MICCAI 2019: 47-57 - [c1]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: 193-204 - [i5]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 abs/1903.07988 (2019) - [i4]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 abs/1912.08775 (2019) - [i3]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 abs/1912.11966 (2019) - 2018
- [j4]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): 362-370 (2018) - [j3]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: 199-206 (2018) - 2017
- [i2]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 abs/1706.00051 (2017) - [i1]Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk:
200x Low-dose PET Reconstruction using Deep Learning. CoRR abs/1712.04119 (2017) - 2014
- [j2]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: 262-270 (2014) - 2012
- [j1]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): 1726-1731 (2012)
Coauthor Index
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