Spyridon Bakas

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Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIPatvirtintas el. paštas pennmedicine.upenn.edu
Sarthak PatiIndiana University; Technical University of MunichPatvirtintas el. paštas iu.edu
Aristeidis SotirasAssistant Professor, Washington UniversityPatvirtintas el. paštas wustl.edu
Bjoern H MenzeUniversität ZürichPatvirtintas el. paštas uzh.ch
Donald M. O'RourkeUniversity of PennsylvaniaPatvirtintas el. paštas uphs.upenn.edu
Alex ZwanenburgNational Center for Tumor Diseases (NCT/UCC) DresdenPatvirtintas el. paštas nct-dresden.de
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityPatvirtintas el. paštas vanderbilt.edu
M. Jorge CardosoReader, King's College LondonPatvirtintas el. paštas kcl.ac.uk
Keyvan FarahaniProgram Director, NCI; Adj Associate Professor, Johns Hopkins UniversityPatvirtintas el. paštas jhmi.edu
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAIPatvirtintas el. paštas uni-bonn.de
Despina KontosProfessor of Radiology, Vice-Chair of AI and Data Science Research, Columbia RadiologyPatvirtintas el. paštas cumc.columbia.edu
Siddhesh ThakurIndiana University HealthPatvirtintas el. paštas iu.edu
Anahita Fathi KazerooniPhD, University of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Justin KirbyFrederick National Laboratory for Cancer ResearchPatvirtintas el. paštas mail.nih.gov
Holger R. RothNVIDIAPatvirtintas el. paštas nvidia.com
Rivka R. ColenMD Anderson Cancer CenterPatvirtintas el. paštas mdanderson.org
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterPatvirtintas el. paštas nih.gov
Klaus H. Maier-HeinProfessor, Medical Image Computing, German Cancer Research CenterPatvirtintas el. paštas dkfz.de
Nicola RiekeNVIDIAPatvirtintas el. paštas nvidia.com
Daniel MarcusProfessor of Radiology, Washington UniversityPatvirtintas el. paštas wustl.edu

Stebėti

Spyridon Bakas

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

Patvirtintas el. paštas iu.edu - Pagrindinis puslapis

Biomedical Image Analysis Cancer Imaging Computational Pathology Radiogenomics Radiomics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	3267*	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	2606	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	2040	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	1772	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	1170	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	1168	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	1045	2019
The Medical Segmentation Decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature Communications 13 (1), 1-13, 2022	874	2022
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	815	2017
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	663	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	588	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	237	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	213	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	209*	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	209	2018
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	186	2022
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	172	2021
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	165	2018
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	145	2023
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	130	2020

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