Articles with public access mandates - Spyridon BakasLearn more
Not available anywhere: 1
Review
Computational imaging applications in brain and breast cancer
A Gastounioti, OH Maghsoudi, S Rathore, EF Conant, D Kontos, S Bakas
Elsevier, 2023
Mandates: US National Institutes of Health, Susan G. Komen
Available somewhere: 89
Review
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
Mandates: Swiss National Science Foundation, US National Institutes of Health …
Review
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
Mandates: US National Institutes of Health
Review
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
Mandates: US National Institutes of Health, Helmholtz Association, UK Engineering and …
Review
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
Mandates: US National Institutes of Health
Review
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
Mandates: US National Institutes of Health, Fonds de recherche du Québec - Santé …
Review
The Medical Segmentation Decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature Communications 13 (1), 1-13, 2022
Mandates: US National Institutes of Health, Helmholtz Association, Danish Council for …
Review
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
Mandates: US National Institutes of Health
Review
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
Mandates: Fundação de Amparo à Pesquisa do Estado de São Paulo, US Department of …
Review
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
Mandates: US National Institutes of Health
Review
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
Mandates: US National Institutes of Health
Review
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
Mandates: US National Science Foundation, Fundação de Amparo à Pesquisa do Estado de …
Review
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
Mandates: US National Institutes of Health, National Health and Medical Research …
Review
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
Mandates: US National Institutes of Health
Review
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
Mandates: US National Institutes of Health, Academy of Finland, Government of Spain
Review
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation
S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
Mandates: US National Institutes of Health
Review
In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature
H Akbari, S Bakas, JM Pisapia, MLP Nasrallah, M Rozycki, ...
Neuro-oncology 20 (8), 1068-1079, 2018
Mandates: US National Institutes of Health
Review
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
Mandates: Swiss National Science Foundation, Helmholtz Association, Academy of Finland …
Review
Imaging signatures of glioblastoma molecular characteristics: a radiogenomics review
A Fathi Kazerooni, S Bakas, H Saligheh Rad, C Davatzikos
Journal of Magnetic Resonance Imaging 52 (1), 54-69, 2020
Mandates: US National Institutes of Health
Review
In vivo detection of EGFRvIII in glioblastoma via perfusion magnetic resonance imaging signature consistent with deep peritumoral infiltration: the φ-index
S Bakas, H Akbari, J Pisapia, M Martinez-Lage, M Rozycki, S Rathore, ...
Clinical Cancer Research 23 (16), 4724-4734, 2017
Mandates: US National Institutes of Health
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