About the Session

A Combined Deployable End-to-end Automated AI Detection and Quantitative Visualization Pipeline for Hemothorax on Admission Trauma CT 

Mehrdad Salimitari, PhD, Postdoctoral Fellow, University of Maryland School of Medicine 
Ankush Jindal, MD, MS; Uttam Bodanapally, MD; Lei Zhang, PhD; Wayne LaBelle; Guang Li, PhD; Bhavya Reddy; Ozerk Turan; Gabrielle Dickerson; Abigail Corkum; Melike Harfouche, MD; David Dreizin, MD  

 

Chest Radiography and Mammography-Derived Imaging Biomarkers Enhance Cardiovascular Risk Prediction Beyond ASCVD Risk Score 

Theo Dapamede, MD, PhD, Postdoctoral Fellow, Radiology and Imaging Sciences, Emory University 
Frank Li, PhD; Bardia Khosravi, MD, MPH, MHPE; Aisha Urooj, PhD; Mohammadreza Chavoshi, MD; Chad Robichaux, MPH; Aawez Mansuri, MS; Beatrice Brown-Mulry; Rohan Isaac, MS; Chadi Ayoub, MBBS, PhD; Charles O’Neill, MD; Imon Banerjee, PhD; Judy Gichoya, MD, MS, FSIIM; Hari Trivedi, MD  

 

Detection of Aberrant Anterior Tibial Artery on Knee MRI Using Deep Learning 

Eduardo Farina, MD, Radiologist, UNIFESP 
Cassiano Barros, MD; Daisy Kase, MD; Paulo de Tarso Kawakami Perez, MD; Leonardo Kazunori Tsuji, MD; Lucas Medeiros, MD; Adham do Amaral e Castro, MD, PhD; Felipe Kitamura, MD, PhD; Andre Aihara, MD, PhD 

 

Identifying Gaps in Care Using AI for Vertebral Body Compression Fracture Detection on Chest X-Rays 

Mohamed K. Ibrahim, MD, Cardiopulmonary Imaging Instructor, Radiology, University of Alabama at Birmingham 
Omar Safarini, MD; John Eddins; Lawrence Ngo, MD; Richard Brown, MD, FACR; Russell Stewart, MD, MBA, MS; Srini Tridandapani, PhD, MD, MBA; Steven Rothenberg, MD 

 

IDH-mutant Glioma Subtypes Classification Using Unsupervised Dimensionality Reduction of MRI Biomarkers 

Nazanin Maleki, MD, Research Fellow, Radiology, The Children’s Hospital of Philadelphia 
Klara Willms, MD; Tal Zeevi, PhD; Sahil Chadha, MD; Marc von Reppert, MD; Leon Jekel, MD; Jan Lost, MD; Sarah Merkaj, MD; Niklas Tilmanns, MD; Mariam Aboian, MD, PhD 

 

Leveraging Pre-trained Medical Image Embeddings for Knee Pain Score Prediction: A Comparative Analysis of Vision Transformer and CNN Approaches 

Mohammadreza Chavoshi, MD, Postdoctoral Research Fellow, Department of Radiology, Emory University 
Frank Li, PhD; Theo Dapamede, MD, PhD; Bardia Khosravi, MD, MPH; Brandon Price, MD; Janice Newsome, MD; Aawez Mansuri, MS; Rohan Satya Isaac, MS; Hari Trivedi, MD; Judy Gichoya, MD, MS, FSIIM 

 

Leveraging Volume Embeddings for Accurate and Efficient Glioma Classification 

Xue Li, PhD Candidate, Student, Electrical and Computer Engineering, University of Wisconsin-Madison 
Alan McMillan, PhD 

 

Re-evaluating Right Heart Strain at CT Pulmonary Angiography with Artificial Intelligence-Driven Cardiac Chamber Segmentation 

Bardia Nadim, MD, Resident Physician, Radiology, Brigham and Women’s Hospital 
Ian Pan, MD 

Session Number

2015

Format

Research Abstracts

Learning Topic
Artificial Intelligence (AI)Machine Learning (ML)Productivity & Workflow
Credit Type
ASRT-RTCAMPEP-MPCECSIIM IIP-CIIPUUCME-MD

Presented By

 

Mehrdad Salimitari, PhD

Postdoctoral Fellow
University of Maryland School of Medicine

Theo Dapamede, MS, MD, PhD

Postdoctoral Fellow
Radiology and Imaging Sciences, Emory University

Eduardo Farina, MD

Radiologist
UNIFESP

Mohamed K. Ibrahim, MD

Cardiopulmonary Imaging Instructor
Radiology, University of Alabama at Birmingham

Nazanin Maleki, MD

Research Fellow
Radiology, The Children's Hospital of Philadelphia

Mohammadreza Chavoshi, MD

Postdoctoral Research Fellow
Department of Radiology, Emory University

Xue Li

PhD Candidate, PhD Student
Electrical and Computer Engineering, University of Wisconsin-Madison

Bardia Nadim, MD

Resident Physician
Radiology, Brigham and Women's Hospital