Spyridon Bakas
Indiana University Health(US)Children's Hospital of Philadelphia(US)University of Indianapolis(US)Emory University(US)Henry Ford Health System(US)Kingston University(GB)University of California San Diego(US)Indiana Cancer Consortium(US)Scripps Clinic Medical Group(US)University of California San Francisco Medical Center(US)Media Working Group(US)Biocom(US)Neurological Surgery(US)Glaucoma Research Foundation(US)Indiana University IndianapolisIndiana University Indianapolis(US)Indiana University Melvin and Bren Simon Comprehensive Cancer CenterIndiana University School of MedicineIndiana University – Purdue University Indianapolis(US)Indiana University(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, Brain Tumor Detection and Classification, AI in cancer detection, Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping(2020)3,653 cited
- → Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features(2017)2,814 cited
- → Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge(2018)1,414 cited
- → Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data(2020)1,275 cited
- → The Medical Segmentation Decathlon(2022)1,122 cited
- → The Liver Tumor Segmentation Benchmark (LiTS)(2022)1,081 cited