| Jun 30, 2026 | New Publication in Nature Communications, 2026: We are pleased to announce the publication of our latest research, “Dynamic breast MRI with Flexible Temporal Resolution Aided by Deep Learning” in Nature Communications. In this work, we present ELITE, a deep-learning reconstruction framework that combines artificial intelligence with mathematical modeling to produce fast dynamic MRI for breast cancer imaging at up to one frame per second. |
| Jun 30, 2026 | New Publication in medRxiv, 2026: We are pleased to announce the publication of our latest research, “Software-defined Radar for MRI Motion Correction: A versatile, vendor-independent Platform” in medRxiv. This work introduces a vendor-independent platform for MRI motion correction using software-defined radar, expanding our toolkit for robust imaging in the presence of motion. |
| Mar 13, 2026 | MR Education lecture: Hosted by the British & Irish Chapter, I had the privilege to give this week’s talk titled “Motion Correction”. |
| Feb 26, 2026 | Paper submitted to MICCAI 2026: Our latest work titled “BRISKNet: Breast Rapid Imaging via Self-Supervised Kinetics” led by our collaborators Rachel Gordon and Anna Woodard from the University of Chicago (Department of Computer Science), introduces a new approach to accelerating breast MRI through self-supervised learning of dynamic imaging kinetics. |
| Feb 11, 2026 | Magnetic Resonance Seminar at Weizmann Institute: It was great pleasure to visit the Weizmann Institute of Science for an exciting Magnetic Resonance Seminar, where I presented our latest work on dynamic breast MRI with flexible temporal resolution enabled by deep learning. |
