Year: 2024

A new arXiv preprint by collaborator Raj Hansini Khoiwal and Molecular Imaging Technology Research Program (MITRP) PI Alan B. McMillan challenges conventional AI training paradigms by demonstrating that pre-trained image embeddings alone can achieve high-performance medical image classification—without traditional model training. Read the full paper: Embeddings are all you need! Achieving High Performance Medical Image …

We are pleased to announce that MITRP team member Eric Weber successfully passed his preliminary examination on November 26, 2024. This significant milestone marks his advancement to doctoral candidacy. Eric is co-advised by MITRP Principal Investigator Dr. Alan McMillan and by Dr. Nader Behdad. His examination committee also included Dr. Chu Ma and Dr. Kevin …

A new arXiv preprint by Alan B. McMillan, PI of MIMRTL, investigates the performance of large language models (LLMs) in answering technical MRI questions, assessing their potential to provide expert-level guidance in real-world clinical settings. The Challenge: Variability in MRI Expertise Magnetic resonance imaging (MRI) is a powerful but technically complex imaging modality. Operator skill …

Dr. McMillan, Principal Investigator of the MIMRTL group, in collaboration with Michael Fei, currently a medical student at Creighton University, have published a new paper in the Journal of Imaging Informatics in Medicine (JIIM) titled “Technical Note: Neural Network Architectures for Self-Supervised Body Part Regression Models with Automated Localized Segmentation Application.” This work presents advancements …

MIMRTL team members, graduate student Weijie Chen and Principal Investigator Alan McMillan, have published a new preprint on arXiv titled “SASWISE-UE: Segmentation and Synthesis with Interpretable Scalable Ensembles for Uncertainty Estimation”. This work introduces a framework aimed at improving the interpretability and reliability of deep learning models in medical imaging. The Challenge of Interpretability in …

A new arXiv preprint, authored by Arihan Yadav, an undergraduate researcher in the Molecular Imaging/Magnetic Resonance Technology Laboratory (MIMRTL), and Alan B. McMillan, the PI of MIMRTL, introduces a novel projection-based method for aligning embeddings across different text modalities. This work presents a significant advancement in Retrieval-Augmented Generation (RAG) systems by improving the ability to …

Researchers from the Molecular Imaging Magnetic Resonance Technology Laboratory (MIMRTL) have contributed to a groundbreaking preprint that introduces MedImageInsight, an open-source generalist medical imaging model. The preprint, now available on arXiv, outlines the model’s ability to achieve state-of-the-art (SOTA) or expert-level performance across diverse imaging modalities, such as X-ray, MRI, CT, and ultrasound. MedImageInsight is …

Motion artifacts remain a significant obstacle in MRI, but advancements in motion detection and correction are driving innovation in both clinical practice and research. The 2024 Motion Correction Workshop, held from September 3-6 by the International Society for Magnetic Resonance in Medicine (ISMRM) in Quebec City, Canada, brought together international experts to discuss the latest …

The MIMRTL team from the University of Wisconsin School of Medicine and Public Health Department of Radiology showcased their latest research at the 2024 Society for Imaging Informatics in Medicine (SIIM) meeting, held in Washington, DC, from June 27-29. The team presented their advancements through both poster and oral presentations. A poster presentation titled “Evaluation …

At the 2024 Society for Nuclear Medicine and Molecular Imaging (SNMMI) meeting held in Toronto, Canada, from June 8-11, Caitlin Randell, a PhD student in Biomedical Engineering, and Alan McMillan, PhD, presented their research on enhancing cardiac PET imaging. This study addresses the significant challenge of capturing high-motion patient anatomy with the inherently low temporal …