• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 48 matches

• 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: 103072 (2024)
• 
  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)
• 
  Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
  SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. MICCAI (2) 2024: 400-410
• 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: 102927 (2023)
• 
  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)
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  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
• 
  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, Greg Zaharchuk, Kilian M. Pohl:
  Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. 82: 102571 (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): 2558-2569 (2022)
• 
  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
• 
  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)
• 
  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)
• 
  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)
• 
  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
• 
  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)
• 
  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)
• 
  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: 321-333
• 
  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
• 
  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
• 
  Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
  Representation Disentanglement for Multi-modal MR Analysis. CoRR abs/2102.11456 (2021)
• 
  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
• 
  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)
• 
  Benjamin Zahneisen, Kathrin Bäumler, Greg Zaharchuk, Dominik Fleischmann, Michael Zeineh:
  Deep flow-net for EPI distortion estimation. NeuroImage 217: 116886 (2020)
• 
  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)

skipping 18 more matches