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RMD Open|December 24, 2024
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detectionFelix J Dorfner, Janis L Vahldiek, Leonhard Donle, et al.
Radiology. Artificial Intelligence|July 10, 2024
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data ScenarioAidan Boyd, Zezhong Ye, Sanjay P Prabhu, et al.
Imaging Neuroscience (Cambridge, Mass.)|January 8, 2026
TissUnet: Improved extracranial tissue and cranium segmentation for children through adulthoodMarkiian Mandzak, Elvira Yang, Anna Zapaishchykova, et al.
Frontiers in Oncology|March 19, 2021
Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving ImmunotherapyStefano Trebeschi, Zuhir Bodalal, Thierry N Boellaard, et al.
Arxiv|December 3, 2025
Clinical Validation and Prospective Deployment of an Automated Deep Learning-Based Coronary Segmentation and Cardiac Toxicity Risk Prediction SystemChristian V Guthier, Christopher E Kehayias, Cosmin Ciausu, et al.
Medrxiv : the Preprint Server for Health Sciences|August 23, 2023
Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learningDivyanshu Tak, Zezhong Ye, Anna Zapaishchykova, et al.
Cancer Research Communications|July 3, 2023
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and RadiomicsMichal Kazmierski, Mattea Welch, Sejin Kim, et al.
NEJM AI|June 19, 2025
Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep LearningDivyanshu Tak, Biniam A Garomsa, Anna Zapaishchykova, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial IntelligenceAndrey Fedorov, William J R Longabaugh, David Pot, et al.
CA: a Cancer Journal for Clinicians|February 6, 2019
Artificial intelligence in cancer imaging: Clinical challenges and applicationsWenya Linda Bi, Ahmed Hosny, Matthew B Schabath, et al.
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