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Michael Atalay
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2020 – today
- 2024
- [j2]Zhusi Zhong
, Jie Li
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE J. Biomed. Health Informatics 28(6): 3732-3741 (2024) - [i4]Zhusi Zhong
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. CoRR abs/2405.02815 (2024) - [i3]Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison Bai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao:
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. CoRR abs/2405.14113 (2024) - [i2]Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay:
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. CoRR abs/2406.01302 (2024) - 2023
- [c1]Zhusi Zhong
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. MICCAI (5) 2023: 515-525 - [i1]Daniel D. Kim, Rajat S. Chandra, Jian Peng, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. CoRR abs/2302.10185 (2023) - 2022
- [j1]Chris K. Kim
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022)
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