Adaptive Deep Learning for Precise Early Stage Lung Tumor Delineation on 4D imaging

  • Luis Ricardo de la O Arevalo, MS, PhD Student, University Medical Center Groningen
  • Nanna M. Sijtsema, PhD; Alessia De Biase, MS; Johannes A. Langendijk, PhD; Robin Wijsman, PhD; Peter M.A. van Ooijen, PhD

Advancing Hepatic Decompensation Status Prediction through Computed Tomography-Based Radiomics Signature and Body Composition Model Integration

  • Yashbir Singh, PhD, Assistant Professor, Mayo Clinic
  • John Eaton, MD; Sudhakar Venkatesh, MD; Bradley Erickson, MD, PhD, CIIP, FSIIM

An Interactive Decision Support Tool for Evaluating Machine Learning Algorithm Performance in Medical Image Analysis developed by the Medical Imaging and Data Resource Center (MIDRC): MIDRC-MetricTree

  • Tingting Hu, PhD Candidate, Visiting Scientist, U.S. Food & Drug Administration
  • Natalie Baughan, PhD; Karen Drukker, PhD, MBA; Maryellen L. Giger, PhD; Grace Hyun Kim, PhD, MS; Mike McNitt-Gray, PhD; Berkman Sahiner, PhD; Emily Townley, Heather Whitney, PhD

Analysis of Intersectional Bias in a Novel Melanoma Image Classification Algorithm

  • Christopher Caligiuri, Student, Princeton University

ChatGPT Enhanced Radiology Reporting using PRECISE Framework For Patient-Centered Care

  • Satvik Tripathi, Research Student, Massachusetts General Hospital
  • Emiliano Garza, MD; Liam Mutter; Michael Dezube, MEng; Christopher P. Bridge, PhD; Dania Daye, MD, PhD

Decoder-Only Computed Tomography Radiology Reports (DOCTRR)

  • Tegan Keigher, MS, Graduate Student, Data Science Institute, University of Chicago
  • Benan Akca, PhD; Andrew Alvarez, MS; Mary Erikson, MS; Utku Pamuksuz, PhD

Deep Learning Assisted Curation of the CANDID-III Dataset with Free-text Reports

  • Anna Hu, Medical Student, George Washington University School of Medicine and Health Sciences
  • Sijing Feng, MBChB; Qixiu Liu, MBChB; Darren Ritchie, MBChB; Benjamin Wilson, MBChB, FRANZC

Deep Learning-Based Natural Language Processing for Classification of Renal Surgical Pathology Outcomes in a Multi-Site Dataset

  • Satvik Tripathi, Undergraduate Researcher, Perelman School of Medicine at the University of Pennsylvania
  • Rithvik Sukumaran; Jackson Steinkamp; Charles M. Chambers; Darco Lalevic; Hanna M. Zafar, MD, MHS; Tessa S. Cook, MD, PhD, CIIP, FSIIM, FCPP

Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension

  • Jen Park, MS, PhD Student, Johns Hopkins University
  • Kyulee Jeon; Haridimos Kondylakis, PhD; Teri Sippel Schmidt, MS, FSIIM; Paul Nagy, PhD, CIIP, FSIIM; Seng Chan You, MD, PhD

Do General Purpose Large Language Models Outperform Domain-Specific NLP Methods for Radiology Report Label Extraction?

  • Cody Savage, MD, Radiology Resident, University of Maryland Medical Intelligent Imaging (UM2ii) Center
  • Steven Rothenberg, MD; Andrew D. Smith, MD, PhD; Paul H. Yi, MD, MS

Enhancing Efficiency and Performance in Healthcare: A Federated Learning Approach for CT Image Segmentation

  • Alan McMillan, PhD, Professor of Clinical Health Sciences, UW Health
  • Iman Z. Estakhraji, PhD; John W. Garrett, PhD; Kristopher Kersten

Enhancing Radiology Reports and Medical Information Retrieval through Question and Answering with Large Language Models

  • Nitin Gupta, MS, Student, University of Chicago
  • Ananth Prayaga, MS; Jialin Wu, MS; Hsin-Yen Yeh, MS; Utku Pamuksuz, PhD; Benan Akca, PhD

Evaluating the Diagnostic Performance of a Deep Learning Model for Detecting Thyroid Nodule Malignancy: An Expert Evaluation Study

  • Sanaz Vahdati, MD, Postdoctoral Research Fellow, Mayo Clinic
  • Bardia Khosravi, MD, MPH, MHPE; Kathryn Robinson, MD; Pouria Rouzrokh, MD, MPH, MHPE; Mana Moassefi, MD; Bradley J. Erickson, MD, PhD, CIIP, FSIIM

Evaluation of ChatGPT Performance on Radiology Board Exam-Style Questions

  • Anna Hu, Medical Student, George Washington University School of Medicine and Health Sciences
  • Sijing Feng, MBChB; John Egbuji, MBChB; Sophia Dean, MBChB; Ben K. Wilson, MBChB

Extraction of Labels from Radiology Reports using ChatGPT

  • Jason Adleberg, MD, Radiology Resident, Mount Sinai
  • Nicholas Primiano, MD; Alexander Kagen, MD; Tessa S. Cook, MD, PhD, CIIP, FSIIM

From the Operating Room to the Office: Digital Staining of White Light Cystoscopy Videos for Bladder Cancer Detection

  • Greyson Wintergerst, Undergraduate Researcher, Vanderbilt University
  • Shuang Chang, PhD; Haoli Yin; Kristen R. Scarpato, MD, MPH; Amy N. Luckenbaugh, MD; Sam S. Chang, MD, MBA; Soheil Kolouri, PhD; Audrey K. Bowden, PhD

Generation of Radiology Report's Impression from Findings' Description on Pediatric Abdomen Ultrasound

  • Dana Alkhulaifat, MD, Postdoctoral Research Fellow; Children's Hospital of Philadelphia
  • Vahid Khalkhali, PhD; Patricia P. Rafful, MD, PhD; Michael Welsh, PhD; Susan T. Sotardi, MD

Identifying Cerebrospinal Fluid Leak using Brain MRI: A Deep Learning Approach

  • Shahriar Faghani, MD, Postdoctoral Research Fellow, Mayo Clinic
  • Mana Moassefi, MD; Ian T. Mark, MD; Ajay Madhavan, MD; Jared T. Verdoorn, MD; Bradley J. Erickson, MD, PhD, CIIP, FSIIM; John C. Benson, MD

Large Language Model Improves Detection of Negated Expressions in Radiology Reports

  • Yonatan Babore, Medical Student, University of Pennsylvania
  • Yvonne Su; Charles E. Kahn, MD, MS, FACR, FSIIM

Leveraging 3D Segmentation Datasets for Rapid Body Region Classification

  • Xue Li, MS, Research Assistant, University of Wisconsin-Madison
  • Nicolas Pannetier, PhD; Mehul Sampat, PhD; Travis Richardson; Richard Bruce, MD; John W. Garrett, PhD; Alan B. McMillan, PhD

mRMR-permute: Permutation Testing for Unbiased Minimum Redundancy Maximum Relevance Feature Selection

  • Winston T. Chu, PhD, Data Scientist, Integrated Research Facility at Fort Detrick, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health
  • Marcelo A. Castro, PhD; Venkatesh Mani, PhD; Jens H. Kuhn, M.D., PhD; Ian Crozier, MD; Claudia Calcagno, PhD; Jeffrey Solomon, PhD

One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale

  • Pranav Kulkarni, Bioinformatics Software Engineer, University of Maryland School of Medicine
  • Adway Kanhere, MS; Eliot L. Siegel, MD, FSIIM; Paul H. Yi, MD, MS; Vishwa S. Parekh, PhD

Pruning and Principal Component Analysis (PCA) on UNet++ for Segmentation of Kidneys and Cysts in Autosomal Dominant Polycystic Kidney Disease (ADPKD)

  • Chetana Krishnan, Graduate Student, University of Alabama at Birmingham
  • Emma Schmidt; Ezinwanne Onuoha, MS; Michal Mrug, MD; Carlos E. Cardenas, PhD; Harrison Kim, PhD

SegViz: A federated Learning Framework to Train Multi-task Segmentation Models from Partially Annotated and Distributed Datasets

  • Adway U. Kanhere, MS, Software Engineer, University of Maryland School of Medicine
  • Pranav S. Kulkarni; Paul H. Yi, MD, MS; Vishwa S. Parekh, PhD

Stimulated Raman Histology Image Reconstruction Using Weakly Supervised Generative Adversarial Networks

  • Sung Jik Cha, Medical Student, Western Michigan University
  • Yiwei Liu, MS; Esteban Urias, MD; Christian Freudiger, PhD; Todd Hollon, MD

Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery

  • Pranav Kulkarni, Bioinformatics Software Engineer, University of Maryland School of Medicine
  • Adway Kanhere, MS; Paul H. Yi, MD, MS; Vishwa S. Parekh, PhD

Towards Trustworthy Deep Learning: Applying Mondrian Conformal Prediction to Intracranial Hemorrhage Detection

  • Shahriar Faghani, MD, Postdoctoral Research Fellow, Mayo Clinic
  • Cooper Gamble

Uncertainty Quantification in Radiogenomics Analysis Using Mondrian Conformal Prediction

  • Shahriar Faghani, MD, Postdoctoral Research Fellow, Mayo Clinic
  • Mana Moassefi, MD; Khosravi Bardia, MD, MPH, MHPE; Gian Marco Conte, MD, PhD; Pouria Rouzrokh, MD, MPH, MHPE;; Bradley J. Erickson, MD, PhD, CIIP, FSIIM

Unveiling Segmentation Errors: Enhancing Auto-Segmentation with ML Models Trained on Radiomic Features

  • Abishek Karki, PhD, Research Associate, University of Virginia
  • Victor G. Leandro Alves, PhD; Hashir N. Rashad, PhD; Jeffrey V. Siebers, PhD

Using MONAI Pre-Trained Models for Colorectal Tissue Type Phenotyping: A Feasibility Study to Integrate Deep Learning Model Results using the Medical Extension OMOP CDM

  • Shijia Zhang, PhD Student, Johns Hopkins University
  • WooYeon Park, MS; Blake Dewery, PhD; Paul Nagy, PhD, CIIP, FSIIM