Spyridon Bakas

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Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIVerifisert e-postadresse på pennmedicine.upenn.edu
Sarthak PatiIndiana University, Technical University of MunichVerifisert e-postadresse på iu.edu
Aristeidis SotirasAssistant Professor, Washington UniversityVerifisert e-postadresse på wustl.edu
Bjoern MenzeUniversität ZürichVerifisert e-postadresse på uzh.ch
Donald M. O'RourkeUniversity of PennsylvaniaVerifisert e-postadresse på uphs.upenn.edu
Keyvan FarahaniSenior Data Science, Imaging and AI Program Director, NHLBI, NIHVerifisert e-postadresse på nih.gov
Alex ZwanenburgNational Center for Tumor Diseases (NCT/UCC) DresdenVerifisert e-postadresse på nct-dresden.de
M. Jorge CardosoReader, King's College LondonVerifisert e-postadresse på kcl.ac.uk
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityVerifisert e-postadresse på vanderbilt.edu
Siddhesh ThakurIndiana University School of MedicineVerifisert e-postadresse på iu.edu
Despina KontosProfessor of Radiology, Vice-Chair of AI and Data Science Research, Columbia RadiologyVerifisert e-postadresse på cumc.columbia.edu
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAIVerifisert e-postadresse på uni-bonn.de
Justin KirbyFrederick National Laboratory for Cancer ResearchVerifisert e-postadresse på mail.nih.gov
Rivka R. ColenMD Anderson Cancer CenterVerifisert e-postadresse på mdanderson.org
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerifisert e-postadresse på nih.gov
Klaus H. Maier-HeinProfessor, Medical Image Computing, German Cancer Research CenterVerifisert e-postadresse på dkfz.de
Holger R. RothNVIDIAVerifisert e-postadresse på nvidia.com
Ujjwal Baid, Ph.D.Director of Research Operations, Emory University (ubaid@emory.edu)Verifisert e-postadresse på emory.edu
Bhakti BahetiAssistant Professor, Emory UniversityVerifisert e-postadresse på emory.edu
Daniel MarcusProfessor of Radiology, Washington UniversityVerifisert e-postadresse på wustl.edu

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Spyridon Bakas

Associate Professor, Indiana University. - Director, Division of Computational Pathology

Verifisert e-postadresse på iu.edu - Startside

Biomedical Image Analysis Cancer Imaging Computational Pathology Radiogenomics Radiomics


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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	3586*	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	2882	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	2301	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	2082	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	1382	2022
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	1315	2020
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	1155	2019
The Medical Segmentation Decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature Communications 13 (1), 1-13, 2022	1109	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	881	2021
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	861	2017
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	641	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	299	2022
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	252*	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	244	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	232	2017
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	223	2023
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	218	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	215	2021
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	195	2024
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	172	2018

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