Conference on Machine Intelligence in Medical Imaging

Abdominal Organ Labeling for Abnormality in CT Reports Using a Large Language Model 

• Ricardo Bigolin Lanfredi, PhD, National Institutes of Health 
• Yan Zhuang, PhD; Luke Krembs, DO; Brandon Khoury, MD; Pritam Mukherjee, PhD; Ronald M. Summers, MD, PhD 

Analysis of Out-of-Distribution Factors to Detect Iris and Pupil Using Cataract Surgical Images

• Mahtab Faraji, PhD Student, University of Illinois Chicago 
• Rogerio Garcia Nespolo, PhD; Homa Rashidisabet, PhD Candidate; Daniel Wang, MD; Alexis Warren, MD; Hesham Gabr, MD; Yannek Leiderman, MD, PhD; Darvin Yi, PhD 

Answer Positioning Biases in Large Language Model Responses to Medical Multiple-Choice Questions 

• Kartik Gupta, MSc, University of Western Ontario 
• Jaron Chong, MD 

Validating GPT-4 for Automated Protocoling in Diagnostic Imaging 

• Kartik Gupta, MSc, University of Western Ontario 
• Jaron Chong, MD 

Artificial Intelligence System for Estimation of Liver Size on Pediatric Abdominal Ultrasounds 

• Dana Alkhulaifat, MD, Children's Hospital of Philadelphia 
• Mario Sinti-Ycochea, MD; Vahid Khalkhali, PhD; Michael Welsh; Laith Sultan, MD, MPH; Susan Sotardi, MD, MSc 

Attention Variant Mechanism for Airways Segmentation 

• Chetana Krishnan, University of Alabama at Birmingham 
• Shah Hussain, PhD; Denise Stanford, PhD; Venkata Sthanam, PhD; Sandeep Bodduluri, PhD; Steve Rowe, PhD; Harrison Kim, PhD 

Classification of Vitreomacular Adhesion Types Using Deep Learning Models on Optical Coherence Tomography Images 

• A. Q. M. Sala Uddin Pathan, PhD Candidate, University of New South Wales
• Brughanya Subramanian, MS; Salil S. Kanhere, PhD; Matthew P. Simunovic, MB BChir, PhD; Rajiv Raman, MS, DNB, DSc; Maitreyee Roy, PhD 

Classifying Common Breast Pain Symptoms for Patients Using a Large Language Model, ChatGPT 

• Hana Haver, MD, MSc, Mass General Brigham 
• Manisha Bahl, MD; Maggie Chung, MD 

Classifying, Fast and Slow: Adversarial Training for Bias Mitigation in Medical Imaging 

• Felipe Matsuoka, Faculdade de Ciências Médicas da Santa Casa de São Paulo 
• Eduardo Farina, MD; Felipe Kitamura, MD, PhD, MS 

Comparative Evaluation of Computationally Efficient and Explainable 1D Brightness Profiles from Axial Projections for Lung Ultrasound Frame Classification 

• Srishti Jain, Boston University 
• Umair Khan, PhD; Russell Thompson, PhD; Lauren P. Etter; Ingrid Camelo, MD; Rachel C. Pieciak, MS; Ilse Castro-Aragon, MD; Bindu Setty, MD; Christopher C. Gill, MD; Margrit Betke, PhD 

Comparing Classic to State-of-the-Art Image Features: A Clustering Approach Using Local Binary Patterns and ResNet-18 Features for Lung Ultrasound Video Classification 

• Saunak Bhattacharjee, Boston University 
• Umair Khan, PhD; Russell Thompson, PhD; Lauren P. Etter; Ingrid Camelo, MD; Rachel C. Pieciak, MS; Ilse Castro-Aragon, MD; Bindu Setty, MD; Christopher C. Gill, MD; Margrit Betke, PhD 

Enhanced Sperm Image Segmentation Using MCFA Unet: Integrating Multi-Channel Feature Extraction and Attention Mechanisms 

• Qiufeng Yi, MSc, University of Birmingham 
• Chenyang Wang, PhD; Xiazhen Xu, PhD; Jiaqi Ye; Amir Hajiyavand, PhD 

Enhancing Radiology Report Comprehension: A Study on GPT-4's Identification of Key Radiological Terms 

• Jad Alsheikh, Creighton University School of Medicine 
• Ali Memon; Daniel Spalinski; Kimberly Mendez, PhD; Sherif Zineldine; Dorina Pinkhasova; Michael Fei 

Evaluating Performance and Environmental Impact: A Comparative Study of Large Language Models 

• Sanaz Vahdati, MD, Mayo Clinic 
• Bardia Khosravi, MD, MPH, MHPE; Bradley J. Erickson, MD, PhD, CIIP, FSIIM 

Evaluating TotalSegmentator for Muscle and Fat Segmentation in Patients with Ascites 

• Tiffany Wei, National Institute of Health 
• Benjamin Hou, PhD; Tejas S. Mathai, PhD; Jianfei Liu, PhD; Ronald M. Summers, MD, PhD; Zhiyong Lu, PhD 

Utility of Fully Automated Liver and Spleen Biomarkers for Staging Hepatic Fibrosis in CT

• Tejas S. Mathai, PhD, National Institutes of Healt
• Sydney V. Lewis, Meghan G. Lubner, MD; Perry J. Pickhardt, MD; Ronald M. Summers, MD, PhD

Generating Structured Radiology Reports of Chest Radiographs using Retrieval Augmented Generation 

• Yash S. Saboo, University of Texas at Austin 
• Aaron Fanous, MD, MS; Kal L. Clark, MD 

Implementation of U-Net Deep Learning Model in SPECT Myocardial Perfusion Image Segmentation 

• Ahmad Alenezi, PhD, MSc, Kuwait University 
• Ali Mayya, PhD; Mahdi Alajmi; Hamad Alhamad, PhD 

Improved Osteoporosis Prediction in Breast Cancer Patients Using a Novel Semi-Foundational Deep Learning Model 

• Katherine Quesada Tibbetts, USF Morsani College of Medicine 
• John D. Mayfield, MD, PhD; Aziz Rehman; Millena Levin; Dayna Goltz; Neelesh Prakash, MD 

Machine Learning Clustering of Qualitatively Assessed Lung Computed Tomography Scans to Distinguish Nonhuman Primate Models of Respiratory Virus Infection: A Pilot Study 

• Edmond Adib, PhD, National Institute of Health 
• Shiva Singh, PhD; Marcelo Castro, PhD; Mark Rustad, PhD; Winston Chu, PhD; Maryam Homayounieh, MD; Gabriella Worwa, PhD; Daniel Chertow, MD, MPH; Reed Johnson, PhD;  Michael Holbrook, PhD; Yu Cong, MD, MS; Ian Crozier, MD; Ashkan Malayeri, MD; Jeffrey Solomon, PhD 

Natural Language Processing for Automated Correlation of Radiology and Pathology Reports in Prostate Cancer Detection 

• Anthony T. Wu, University of California, Irvine 
• Gavin Shu, MS; Ryan O'Connell, MD; Peter Chang, MD; Robert Edwards, MD, PhD; Sungmee Park, MD; Roozbeh Houshyar, MD 

Preliminary Evaluation of the State-of-the-art Large Language Models in Processing Reports from the American Association of Physicists in Medicine 

• Hossein Jafarzadeh, MSc, PhD Candidate, McGill University 
• Jonathan Kalinowski, MSc; Farhood Farahnak, PhD, MSc; Shirin A. Enger, PhD, MSc 

Prompt-Induced Bias in Vision Language Models: Implications for Pneumonia Detection in Pediatric Chest Radiographs 

• David Li, MD, Lοndοn Health Sciences Center 
• Jaron Chong, MD, MHI 

Radiology AI Leaderboard: An Evaluation Platform for Large Language and Vision Language Models 

• David Li, MD, Lοndοn Health Sciences Center 
• Jaron Chong, MD, MHI 

Regression in GPT-4 Turbo’s Diagnostic Accuracy for Generating Radiology Differential Diagnoses

• David Li, MD, Lοndοn Health Sciences Center
• Kartik Gupta, MSc; Mousumi Bhaduri, MBBS, DMRD, DNB, DABR; Paul Sathiadoss, MBBS; Sahir Bhatnagar, PhD; Jaron Chong, MD, MHI

Reduction of Molecular Breast Imaging Scan Time by Half with a Denoising Diffusion Probabilistic Model-based Algorithm 

• Fred Nugen, PhD, Mayo Clinic 
• Bardia Khosravi, MD, MPH, MHPE; Lacey Gray, CN; Katie N. Hunt, MD;  Bradley J. Erickson, MD, PhD, CIIP, FSIIM; Carrie Hruska, PhD 

Survival Prediction in Colorectal Liver Metastases using Radiomics 

• Akhil Ambekar, Brown University
• Jon Steingrimsson 

The Phenotypic Basis of CT-derived Kidney Traits and Their Utility in Predicting Estimated Glomerular Filtration Rate 

• David Y. Zhang, University of Pennsylvania
• Rachit Kumar; Ali H. Dhanaliwala, MD, PhD; Jeffrey T. Duda, PhD; Hersh Sagreiya, MD; James C. Gee, PhD; Charles E. Kahn, MD, MS, FSIIM; Marylyn D. Ritchie, PhD; Daniel J. Rader, MD; Walter R. Witschey, PhD   

Two-Step Fully Automated Classification of Choroidal Metastases on MRI: Orbit Localization via Bounding Boxes Followed by Binary Classification via Evolutionary Strategies 

• Joseph N. Stember, MD, PhD, Memorial Sloan Kettering Cancer Center
• Jeffrey S. Shi; Bala McRae-Posani, MSc; Andrei Holodny, MD Hrithwik Shalu, MS

Utilizing Natural Language Processing and Deep Learning Classification of Radiology Reports to Evaluate the Sensitivity of Chest CT for Detecting Signs of Congestive Heart Failure 

• Dorina Pinkhasova, Creighton University School of Medicine
• Daniel Spalinski; Sherif Zineldine; Ali Memon; Kimberly Mendez, PhD; Michael Fei; Daniel Nguyen; Jad Alsheikh; Randy Richardson, MD

CT to MRI Style Transfer Deep Learning for Enhanced Detection of Brain Metastases

• Adhithya Narayanan, Geisel School of Medicine at Dartmouth
• Nooriel Banayan; Andrei I. Holodny, MD; Hrithwik Shalu, MTech; Dylan G. Hsu, PhD; Joseph N. Stember, MD, PhD

Prescreening Radiology Reports for Prostate Cancer Recurrences using a Large Language Model (LLM)

• Ali Ganjizadeh, MD, Mayo Clinic
• Lance Mynderse, MD; Shahriar Faghani, MD; David A. Woodrum, MD, PhD; Bradley J. Erickson, MD, PhD, CIIP, FSIIM