The Molecular Imaging Technology Research Program (MITRP) is excited to share a new publication in the journal Tomography, BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation, led by Jinnian Zhang, Weijie Chen, and …
New Study Alert: Embedding-Based AI for Medical Image Classification, A More Efficient Future?
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 …
MITRP Congratulates Eric Weber on Successfully Completing His Preliminary Examination!
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 …
Evaluating Large Language Models for Technical MRI Expertise: A New Study from MIMRTL
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. …
New paper published: Neural Network Architectures for Self-Supervised Body Part Regression Models with Automated Localized Segmentation Application
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 …
New arXiv preprint – Enhancing Interpretability in Medical Imaging with Scalable Ensembles
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 …
New arXiv Paper Published on Bridging the Semantic Gap in Retrieval-Augmented Generation.
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 …
New preprint released: MedImageInsight- An Open-Source Embedding Model for General Domain Medical Imaging
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 …
Professor McMillan Presents at 2024 ISMRM Workshop on Motion Correction
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 …
MIMRTL Presents at SIIM 2024!
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, …