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2020 – today
- 2023
[c3]Ananya Jana, Ramanathan Arunachalam, Carlos D. Minacapelli, Kaitlyn Catalano, Carlos Catalano, Vinod Rustgi, Dimitris N. Metaxas:
Scale-Aware Multi-Instance Learning for Early Prognosis of Subjects at Risk of Developing Hepatocellular Carcinoma. ISBI 2023: 1-5- 2021
- [j1]Hui Qu
, Carlos D. Minacapelli, Christopher Tait, Kapil Gupta, Abhishek Bhurwal, Carolyn Catalano, Randa Dafalla, Dimitris N. Metaxas, Vinod Rustgi:
Training of computational algorithms to predict NAFLD activity score and fibrosis stage from liver histopathology slides. Comput. Methods Programs Biomed. 207: 106153 (2021) - [c2]Ananya Jana, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, Dimitris N. Metaxas:
Liver Fibrosis And NAS Scoring From CT Images Using Self-Supervised Learning And Texture Encoding. ISBI 2021: 1553-1557 - [i3]Ananya Jana, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, Dimitris N. Metaxas:
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding. CoRR abs/2103.03761 (2021) - [i2]Ananya Jana, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data. CoRR abs/2109.05087 (2021) - 2020
- [c1]Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data. BIBE 2020: 981-986 - [i1]Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data. CoRR abs/2009.10687 (2020)
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