Spyridon Bakas

Cituota

	Visi	Nuo 2018
Šaltiniai	14716	14393
h-rodyklė	39	39
i10-rodyklė	84	81

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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
MacLean Pancoast NasrallahUniversity of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Donald M. O'RourkeUniversity of PennsylvaniaPatvirtintas el. paštas uphs.upenn.edu
Bjoern H MenzeUniversität ZürichPatvirtintas el. paštas uzh.ch
Keyvan FarahaniProgram Director, NCI; Adj Associate Professor, Johns Hopkins UniversityPatvirtintas el. paštas jhmi.edu
Alex ZwanenburgNational Center for Tumor Diseases (NCT/UCC) DresdenPatvirtintas el. paštas nct-dresden.de
Jason MartinPatvirtintas el. paštas imaginer.com
Despina KontosMatthew J. Wilson Professor of Research Radiology II, Associate Vice-Chair for ResearchPatvirtintas el. paštas pennmedicine.upenn.edu
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityPatvirtintas el. paštas vanderbilt.edu
Russell ShinoharaProfessor at the University of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Siddhesh ThakurUniversity of PennsylvaniaPatvirtintas el. paštas uphs.upenn.edu
John FreymannPatvirtintas el. paštas mail.nih.gov
Justin KirbyFrederick National Laboratory for Cancer ResearchPatvirtintas el. paštas mail.nih.gov
M. Jorge CardosoReader, King's College LondonPatvirtintas el. paštas kcl.ac.uk
Anahita Fathi KazerooniPhD, University of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Rivka R. ColenMD Anderson Cancer CenterPatvirtintas el. paštas mdanderson.org
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzMunichPatvirtintas el. paštas uni-bonn.de
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	2429*	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	2027	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	1550	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	1047	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	856	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	766	2019
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	735	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	688	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	442	2018
The Medical Segmentation Decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature Communications 13 (1), 1-13, 2022	396	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	308	2021
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	168	2017
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	162	2018
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	150	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	118	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	115	2021
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	111	2016
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	104*	2022
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	102	2018
Identifying the best machine learning algorithms for brain tumor segmentation S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... Progression Assessment, and Overall Survival Prediction in the BRATS …, 2018	99	2018

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