Spyridon Bakas
Spyridon Bakas
Associate Professor, Indiana University. - Director, Division of Computational Pathology
Verified email at - Homepage
Cited by
Cited by
The Image Biomarker Standardization Initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ...
Radiology 295 (2), 328-338, 2020
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, J Kirby, J Freymann, ...
Nature Scientific Data 4 (170117), 2017
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
The Future of Digital Health with Federated Learning
N Rieke, J Hancox, W Li, F Milletarì, HR Roth, S Albarqouni, S Bakas, ...
npj Digital Medicine 3, 2020
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
MJ Sheller, B Edwards, GA Reina, J Martin, S Pati, A Kotrotsou, ...
Scientific reports 10 (1), 12598, 2020
The Liver Tumor Segmentation benchmark (LiTS)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2022
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B van Ginneken, ...
arXiv preprint arXiv:1902.09063, 2019
Segmentation labels and radiomic features for the pre-operative scans of the TCGA-LGG collection
S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, J Kirby, J Freymann, ...
The Cancer Imaging Archive 286, DOI:10.7937/K9/TCIA.2017.GJQ7R0EF, 2017
The Medical Segmentation Decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature Communications 13 (1), 1-13, 2022
The RSNA-ASNR-MICCAI BraTS 2021 benchmark on brain tumor segmentation and radiogenomic classification
U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ...
arXiv preprint arXiv:2107.02314, 2021
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
MJ Sheller, GA Reina, B Edwards, J Martin, S Bakas
International MICCAI Brainlesion Workshop 2018, 92-104, 2018
Glioma progression is shaped by genetic evolution and microenvironment interactions
FS Varn, KC Johnson, J Martinek, JT Huse, MLP Nasrallah, P Wesseling, ...
Cell 185 (12), 2184-2199. e16, 2022
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome
C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ...
Journal of medical imaging 5 (1), 011018-011018, 2018
Advanced magnetic resonance imaging in glioblastoma: a review
G Shukla, GS Alexander, S Bakas, R Nikam, K Talekar, JD Palmer, W Shi
Chin Clin Oncol 6 (4), 40, 2017
OpenFL: the open federated learning library
P Foley, MJ Sheller, B Edwards, S Pati, W Riviera, M Sharma, PN Moorthy, ...
Physics in Medicine & Biology 67 (21), 214001, 2022
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature Communications 13 (1), 1-17, 2022
Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development
ZA Binder, AH Thorne, S Bakas, EP Wileyto, M Bilello, H Akbari, ...
Cancer Cell 34 (1), 163-177. e7, 2018
Common Limitations of Image Processing Metrics: A Picture Story
A Reinke, M Eisenmann, MD Tizabi, CH Sudre, T Rädsch, M Antonelli, ...
arXiv preprint arXiv:2104.05642, 2021
ANHIR: automatic non-rigid histological image registration challenge
J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ...
IEEE transactions on medical imaging 39 (10), 3042-3052, 2020
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
B Kocak, B Baessler, S Bakas, R Cuocolo, A Fedorov, L Maier-Hein, ...
Insights into Imaging 14 (75), 2023
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