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Spyridon Bakas
Spyridon Bakas
Associate Professor. Director: Computational Pathology Division & Center for FL - Indiana University
Verified email at iu.edu - Homepage
Title
Cited by
Cited by
Year
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
4236*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
34302017
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
31932020
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
27802018
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
19372020
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
18812022
The Medical Segmentation Decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature Communications 13 (1), 1-13, 2022
16462022
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
13972019
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
13542021
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
9532017
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
8242018
Metrics reloaded: recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature methods 21 (2), 195-212, 2024
4662024
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
4262022
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
4002022
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
3532023
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
341*2022
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
2982017
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
2632021
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
2582018
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru …
A Crimi, S Bakas
Springer Nature, 2021
2442021
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Articles 1–20