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The Lancet. Oncology|February 5, 2026
Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective studyH Lalchungnunga, Christopher H Dampier, Omkar Singh, et al.Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|August 2, 2023
ROS1 Alterations as a Potential Driver of Gliomas in Infant, Pediatric, and Adult PatientsDavid M Meredith, Linda D Cooley, Adrian Dubuc, et al.Journal of Medical Imaging (Bellingham, Wash.)|September 2, 2024
Predicting peritumoral glioblastoma infiltration and subsequent recurrence using deep-learning-based analysis of multi-parametric magnetic resonance imagingSunwoo Kwak, Hamed Akbari, Jose A Garcia, et al.Nature|September 4, 2024
A pathology foundation model for cancer diagnosis and prognosis predictionXiyue Wang, Junhan Zhao, Eliana Marostica, et al.Cancer Cell|July 11, 2018
Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic DevelopmentZev A Binder, Amy Haseley Thorne, Spyridon Bakas, et al.Nature Communications|September 29, 2025
Uncertainty-aware ensemble of foundation models differentiates glioblastoma from its mimicsJunhan Zhao, Shih-Yen Lin, Raphaël Attias, et al.Nature Communications|May 13, 2026
Personalized machine learning-guided radiation dose escalation in newly diagnosed glioblastoma: prospective pilot studyHamed Akbari, Suyash Mohan, Fang Liu, et al.Neuroradiology|July 19, 2023
Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortiumMatthew D Lee, Sohil H Patel, Suyash Mohan, et al.Acta Neuropathologica|April 9, 2025
Diffuse astrocytoma, AYA-type, frequently MAPK-altered: report of 45 patientsOmkar Singh, Christopher Dampier, Zied Abdullaev, et al.Cell Reports. Medicine|December 17, 2025
Contrastive learning enhances fairness in pathology artificial intelligence systemsShih-Yen Lin, Pei-Chen Tsai, Fang-Yi Su, et al.Pageof 9