| 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 | 1508 | 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 | 1440 | 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 | 1017 | 2018 |
| 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, https://doi.org/10.7937/K9/TCIA.2017.GJQ7R0EF …, 2017 | 574 | 2017 |
| Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, J Kirby, J Freymann, ... The Cancer Imaging Archive, https://doi.org/10.7937/K9/TCIA.2017.KLXWJJ1Q, 2017 | 574 | 2017 |
| 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 | 420 | 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 | 408 | 2019 |
| 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), 1-12, 2020 | 286 | 2020 |
| 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 | 275 | 2018 |
| 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, 2018 | 113 | 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 | 112 | 2018 |
| 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 |
| 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 | 101 | 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 | 100 | 2017 |
| 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 | 75 | 2018 |
| 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 | 75 | 2017 |
| 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 | 72 | 2018 |
| The Medical Segmentation Decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature Communications 13 (1), 1-13, 2022 | 64 | 2022 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC … A Crimi, S Bakas, H Kuijf, B Menze, M Reyes Springer, 2018 | 64* | 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 | 50 | 2021 |
Christos DavatzikosDirector, Center for Biomedical Image Computing and Analytics, Professor of Radiology, andVerified email at pennmedicine.upenn.edu
