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2020 – today
- 2026
[i4]Adrit Rao, Malte E. K. Jensen, Andrea Fisher, Louis Blankemeier, Pauline Berens, Arash Fereydooni, Seth Lirette, Eren Alkan, Felipe C. Kitamura, Juan Manuel Zambrano Chaves, Eduardo Pontes Reis, Arjun D. Desai, Marc H. Willis, Jason Hom, Andrew Johnston, Leon Lenchik, Robert D. Boutin, Eduardo Moreno Júdice de Mattos Farina, Augusto Sarquis Serpa, Marcelo Straus Takahashi, Jordan Perchik, Steven Rothenberg, Jamie Lee Schroeder, Ross W. Filice, Leonardo Kayat Bittencourt, Hari Trivedi, Marly van Assen, John Mongan, Kimberly Kallianos, Oliver O. Aalami, Akshay S. Chaudhari:
Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis. CoRR abs/2602.10364 (2026)- 2025
- [j2]Mohammadreza Zandehshahvar, Marly van Assen, Eun Young Kim, Yashar Kiarashi, Vikranth Keerthipati, Giovanni Tessarin, Emanuele Muscogiuri
, Arthur E. Stillman, Peter Filev, Amir H. Davarpanah, Eugene A. Berkowitz, Stefan Tigges, Scott J. Lee, Brianna L. Vey, Carlo Nicola De Cecco, Ali Adibi:
Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset. J. Imaging Inform. Medicine 38(2): 793-803 (2025) - [i3]Theodorus Dapamede, Aisha Urooj, Vedant Joshi, Gabrielle Gershon, Frank Li, Mohammadreza Chavoshi, Beatrice Brown-Mulry, Rohan Satya Isaac, Aawez Mansuri, Chad Robichaux, Chadi Ayoub, Reza Arsanjani, Laurence Sperling, Judy Gichoya, Marly van Assen, Charles W. ONeill, Imon Banerjee, Hari Trivedi:
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk. CoRR abs/2503.14550 (2025) - [i2]Yitong Yang, Muhammad Naeem, Marly van Assen, Jerome Yerly, Davide Piccini, Matthias Stuber, John Oshinski, Matthias Chung:
5D free-running, reconstruction, variable projection, ADMM, VPAL. CoRR abs/2503.15711 (2025) - [i1]Roy M. Gabriel, Mohammadreza Zandehshahvar, Marly van Assen, Nattakorn Kittisut, Kyle Peters, Carlo Nicola De Cecco, Ali Adibi:
Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance. CoRR abs/2508.21263 (2025) - 2023
- [c1]Mohammadreza Zandehshahvar, Marly van Assen, Eun Young Kim, Yashar Kiarashi, Vikranth Keerthipati, Arthur E. Stillman, Peter Filev, Amir H. Davarpanah, Eugene A. Berkowitz, Stefan Tigges, Scott J. Lee, Brianna L. Vey, Carlo Nicola De Cecco, Ali Adibi:
Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset. Computer-Aided Diagnosis 2023 - 2022
- [j1]Amara Tariq, Marly van Assen, Carlo Nicola De Cecco, Imon Banerjee:
Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography. ACM Trans. Comput. Heal. 3(1): 7:1-7:20 (2022)
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last updated on 2026-03-27 01:45 CET by the dblp team
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