IMPACT Lab
Laboratory for Imaging Physics, Analysis, and Clinical Translation

Workshop archive

Deep Reconstruction Workshop 2026

July 17–18, 2026 · Smilow Center for Translational Research · University of Pennsylvania

Thank you

Thank you to our invited speakers and to everyone who joined us in Philadelphia or online. The workshop brought together researchers, clinicians, and imaging scientists to discuss deep learning methods for image formation, analysis, and evaluation across medical imaging modalities.

The workshop received 471 registrations from 29 countries. We are also grateful for support from Penn Radiology and our sponsors for making the meeting possible.

The agenda, with links to the recordings, is below. View the full YouTube playlist.

471registrations
29countries

Introduction

The workshop provided a multidisciplinary forum for exchanging ideas on deep learning methods for image formation, analysis, and evaluation across CT, nuclear medicine, MRI, ultrasound, and optical imaging. Invited presentations reviewed the state of the art and explored potential future research directions.

View the archived event website.

Agenda

Friday, July 17

Registration

Rene Vidal

Physics- and Learning-Based Sparse Phase Reconstruction of Holographic Lens-Free Images

Rene Vidal, PhD · University of Pennsylvania

YouTube recording

Break

Jason Granstedt

Hallucinations in Medical Devices

Jason Granstedt, PhD · U.S. Food and Drug Administration

YouTube recording
Emad Boctor

From Pixels to Poses: Deep Learning and Physics-Guided Adaptive Image Formation for Spine Ultrasound

Emad Boctor, PhD · Johns Hopkins University

YouTube recording
Marcus Chen

Clinical Needs for Improvements in Medical Imaging Reconstruction

Marcus Chen, MD · National Heart, Lung, and Blood Institute, National Institutes of Health

YouTube recording

Agenda

Saturday, July 18

Continental breakfast

Break and Meet the TMI Editor-in-Chief

Ge Wang, PhD · Rensselaer Polytechnic Institute

Recording not planned for publication
Wenjing Cao

Deep Learning & Statistical CT Reconstruction: From Model to Clinical Applications

Wenjing Cao, PhD · United Imaging Healthcare

YouTube recording
Yu Sun

Generative Translation Priors: Bayesian Imaging with Cross-Modality Image Translation

Yu Sun, PhD · Johns Hopkins University

YouTube recording

Closing remarks

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