| 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 | 3050* | 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 | 2452 | 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 | 1915 | 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 | 1584 | 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 | 1091 | 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 | 1057 | 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 | 987 | 2019 |
| 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 | 788 | 2017 |
| The Medical Segmentation Decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature Communications 13 (1), 1-13, 2022 | 752 | 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 | 569 | 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 | 555 | 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 | 211 | 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 | 197 | 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 | 195 | 2018 |
| 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 | 174* | 2022 |
| 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 | 162 | 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 | 157 | 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 | 156 | 2021 |
| 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 | 122 | 2020 |
| 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 | 114 | 2016 |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEI在 pennmedicine.upenn.edu 的电子邮件经过验证
