Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. - Asad Aali; Marius Arvinte; Sidharth Kumar; Jonathan I. Tamir (ACSSC, 2023)

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts. - Dave Van Veen; Cara Van Uden; Louis Blankemeier; Jean-Benoit Delbrouck; Asad Aali; Christian Bluethgen; Anuj Pareek; Malgorzata Polacin; William Collins; Neera Ahuja; Curtis P. Langlotz; Jason Hom; et al. (CoRR, 2023)

A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries. - Asad Aali; Dave Van Veen; Yamin Ishraq Arefeen; Jason Hom; Christian Bluethgen; Eduardo Pontes Reis; Sergios Gatidis; Namuun Clifford; Joseph Daws; Arash S. Tehrani; Jangwon Kim; Akshay S. Chaudhari (CoRR, 2024)

Detecting Underdiagnosed Medical Conditions with Deep Learning-Based Opportunistic CT Imaging. - Asad Aali; Andrew Johnston; Louis Blankemeier; Dave Van Veen; Laura T. Derry; David Svec; Jason Hom; Robert D. Boutin; Akshay S. Chaudhari (CoRR, 2024)

Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising. - Asad Aali; Marius Arvinte; Sidharth Kumar; Yamin Ishraq Arefeen; Jonathan I. Tamir (CoRR, 2024)

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. - Asad Aali; Giannis Daras; Brett Levac; Sidharth Kumar; Alex Dimakis; Jonathan I. Tamir (ICLR, 2025)

A dataset and benchmark for hospital course summarization with adapted large language models. - Asad Aali; Dave Van Veen; Yamin Ishraq Arefeen; Jason Hom; Christian Bluethgen; Eduardo Pontes Reis; Sergios Gatidis; Namuun Clifford; Joseph Daws; Arash S. Tehrani; Jangwon Kim; Akshay S. Chaudhari (J. Am. Medical Informatics Assoc., 2025)

Splitwiser: Efficient LM inference with constrained resources. - Asad Aali; Adney Cardoza; Melissa Capo (CoRR, 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)

Expert-level validation of AI-generated medical text with scalable language models. - Asad Aali; Vasiliki Bikia; Maya Varma; Nicole Chiou; Sophie Ostmeier; Arnav Singhvi; Magdalini Paschali; Ashwin Kumar; Andrew Johnston; Karimar Amador-Martinez; Eduardo Juan Perez Guerrero; Paola Naovi Cruz Rivera; et al. (CoRR, 2025)