Combining Computational Techniques with Physics for Applications in Accelerated MRI - Yamin Ishraq Arefeen (2023)

INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D Accelerated MRI Reconstruction. - Yamin Ishraq Arefeen; Brett Levac; Zach Stoebner; Jonathan I. Tamir (IEEECONF, 2024)

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)

Accelerated, Robust Lower-Field Neonatal MRI with Generative Models. - Yamin Ishraq Arefeen; Brett Levac; Jonathan I. Tamir (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)

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)

Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI. - Yamin Ishraq Arefeen; Brett Levac; Bhairav Patel; Chang Ho; Jonathan I. Tamir (CoRR, 2025)