Michael Atalay

According to our database, Michael Atalay authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.

Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael Atalay, Xingbo Gao, Zhicheng Jiao

IEEE J. Biomed. Health Informatics, May, 2025

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA.

Zhusi Zhong, Yuli Wang, Lulu Bi, Zhuoqi Ma, Sun Ho Ahn, Christopher J. Mullin, Colin Greineder, Michael K. Atalay, Scott Collins, Grayson Baird, Cheng Ting Lin, J. Webster Stayman, Todd M. Kolb, Ihab Kamel, Harrison X. Bai, Zhicheng Jiao

CoRR, March, 2025

Vision-language model for report generation and outcome prediction in CT pulmonary angiogram.

Zhusi Zhong, Yuli Wang, Jing Wu, Wen-Chi Hsu, Vin Somasundaram, Lulu Bi, Shreyas Kulkarni, Zhuoqi Ma, Scott Collins, Grayson Baird, Sun Ho Ahn, Xue Feng, Ihab Kamel, Cheng Ting Lin, Colin Greineder, Michael Atalay, Zhicheng Jiao, Harrison X. Bai

npj Digit. Medicine, 2025

Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images.

Zhusi Zhong, Zhuoqi Ma, Thomas Y. Yi, Scott Collins, Grayson Baird, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael K. Atalay, Zhicheng Jiao

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison X. Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao

IEEE J. Biomed. Health Informatics, June, 2024

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data.

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

CoRR, 2024

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.

Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao

CoRR, 2024

Region-specific Risk Quantification for Interpretable Prognosis of COVID-19.

Zhusi Zhong, Jie Li, Zhuoqi Ma, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Xinbo Gao, Michael K. Atalay, Zhicheng Jiao

CoRR, 2024

2023

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.

Daniel D. Kim, Rajat S. Chandra, Jian Peng, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones, Haris I. Sair, Wei-hua Liao, Chengzhang Zhu, Beiji Zou, Li Yang, Anahita Fathi Kazerooni, Ali Nabavizadeh, Harrison X. Bai, Zhicheng Jiao

CoRR, 2023

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison X. Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.

Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison X. Bai

npj Digit. Medicine, 2022