2 citations · 7 across the 7 of their papers we have counts for
7 papers
Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment
Mohamed Sobhi Jabal, Jikai Zhang, Dominic LaBella +6
The Brain Tumor Reporting and Data System (BT-RADS) standardizes post-treatment MRI response assessment in patients with diffuse gliomas but requires complex integration of imaging…
Diagnostic Impact of Cine Clips for Thyroid Nodule Assessment on Ultrasound
Jichen Yang, Brian C. Allen, Kirti Magudia +4
Objective: Thyroid ultrasound is commonly performed using a combination of static images and cine clips (video recordings). However, the exact utility and impact of cine images rem…
Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Organized Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol)
Anindo Saha, Joeran S. Bosma, Jasper J. Twilt +26
In this intercontinental, confirmatory study, we include a retrospective cohort of 22,481 MRI examinations (21,288 patients; 46 cities in 22 countries) to train and externally vali…
Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports
Mohamed Sobhi Jabal, Pranav Warman, Jikai Zhang +6
Purpose: To develop and evaluate an automated system for extracting structured clinical information from unstructured radiology and pathology reports using open-weights large langu…
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset
Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball +37
The RSNA Abdominal Traumatic Injury CT (RATIC) dataset is the largest publicly available collection of adult abdominal CT studies annotated for traumatic injuries. This dataset inc…
Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI
Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde +6
Non-invasive prostate cancer detection from MRI has the potential to revolutionize patient care by providing early detection of clinically-significant disease (ISUP grade group >=…
Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology
Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti +5
Early prostate cancer detection and staging from MRI are extremely challenging tasks for both radiologists and deep learning algorithms, but the potential to learn from large and d…