Spyridon Bakas
Spyridon Bakas
Assistant Professor
Verified email at upenn.edu - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review
A Fathi Kazerooni, S Bakas, H Saligheh Rad, C Davatzikos
Journal of Magnetic Resonance Imaging (Epub ahead of print), doi:10.1002 …, 2019
Standardization in quantitative imaging: a multicenter comparison of radiomic features from different software packages on digital reference objects and patient data sets
M McNitt-Gray, S Napel, A Jaggi, SA Mattonen, L Hadjiiski, M Muzi, ...
Tomography 6 (2), 118-128, 2020
Fast semi-automatic segmentation of focal liver lesions in contrast-enhanced ultrasound, based on a probabilistic model
S Bakas, K Chatzimichail, G Hunter, B Labbé, PS Sidhu, D Makris
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2017
Segmentation of gliomas in pre-operative and post-operative multimodal magnetic resonance imaging volumes based on a hybrid generative-discriminative framework
K Zeng, S Bakas, A Sotiras, H Akbari, M Rozycki, S Rathore, S Pati, ...
International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016
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