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Pingfu Fu
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2020 – today
- 2024
- [j3]Amogh Hiremath
, Vidya Sankar Viswanathan
Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study. Comput. Biol. Medicine 177: 108643 (2024) - [j2]Dmitry Cherezov
Rank acquisition impact on radiomics estimation (AсquIRE) in chest CT imaging: A retrospective multi-site, multi-use-case study. Comput. Methods Programs Biomed. 244: 107990 (2024) - 2023
- [c8]Rohan Dhamdhere, Gourav Modanwal
STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models. MICCAI (6) 2023: 284-294 - [c7]Shayan Monabbati, Sirvan Khalighi, Pingfu Fu, Sylvia Asa, Anant Madabhushi:
A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancer. Digital and Computational Pathology 2023 - [i3]Ammar Hoori, Sadeer Al-Kindi, Tao Hu, Yingnan Song, Hao Wu, Juhwan Lee, Nour Tashtish, Pingfu Fu, Robert Gilkeson, Sanjay Rajagopalan, David L. Wilson:
Enhancing cardiovascular risk prediction through AI-enabled calcium-omics. CoRR abs/2308.12224 (2023) - 2022
- [c6]Aya Aqeel, Germán Corredor, Vidya Sankar Viswanathan, Chuheng Chen, Mogjan Mokhtari, Pingfu Fu, Joseph E. Willis, Anant Madabhushi:
Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer. Digital and Computational Pathology 2022 - [c5]Shayan Monabbati, Paula Toro, Kaustav Bera, Pingfu Fu, Sylvia A. Lou, Anant Madabhushi:
Quantitative histomorphometric features of tumor nuclei are prognostic of disease-free survival in papillary thyroid carcinoma. Digital and Computational Pathology 2022 - [i2]Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. CoRR abs/2210.02273 (2022) - 2021
- [j1]Amogh Hiremath
Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study. IEEE J. Biomed. Health Informatics 25(11): 4110-4118 (2021) - [c4]Amogh Hiremath, Lei Yuan, Rakesh Shiradkar, Kaustav Bera, Vidya Sankar Viswanathan, Pranjal Vaidya, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta
LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. MICCAI (7) 2021: 367-377 - 2020
- [c3]Sepideh Azarianpour
Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy. Digital Pathology 2020: 113200Q - [i1]Nathaniel Braman
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. CoRR abs/2001.08570 (2020)
2010 – 2019
- 2019
- [c2]Mohammadhadi Khorrami
A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study. Computer-Aided Diagnosis 2019: 109500R - [c1]Mehdi Alilou, Pranjal Vaidya
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival. Computer-Aided Diagnosis 2019: 109501F
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last updated on 2024-12-08 02:24 CET by the dblp team
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