Spyridon Bakas - Concepedia

Author

Spyridon Bakas

Also Known As

Abousamra, Shahira, Albarqouni, Shadi 1984-, Albrecht, Jake, Antonelli, Michela, Baid, Ujjwal, Bakas, S, Bakas, Spyridon, Chung, Albert C. S., Crimi, Alessandro, Deutsch, Michelle

378

Publications

20.3K

Citations

H-Index

102

Concepts

All Affiliations

University of Pennsylvania University of Zurich National Cancer Institute Technical University of Munich Heidelberg University

About

Spyridon Bakas is an author at University of Pennsylvania specializing in engineering, radiology, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	30	5.3K
2	Medicine	19	30	4.8K
3	Health Sciences	10	11	1.2K
4	Public Health	2	2	28
5	Biomedical Engineering	2	2	50

Spyridon Bakas

Publications

17.2K

Citations

H-Index

Page 1

	Year	Citations
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping Alex Zwanenburg, Martin Vallières, Mahmoud A. Abdalah, Radiology	2020	3.6K
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Scientific Data	2017	2.8K
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas, Mauricio Reyes arXiv (Cornell University) Brats ChallengeMedical Image SegmentationEngineeringMachine LearningBrain Tumor Segmentation	2018	1.4K
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data Micah Sheller, Brandon Edwards, G. Anthony Reina, Scientific Reports Family MedicineEngineeringMachine LearningData ScienceBiomedical Data Science	2020	1.2K
The Medical Segmentation Decathlon Michela Antonelli, Annika Reinke, Spyridon Bakas, Nature Communications	2022	1.1K
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Medical Image Analysis	2022	1K
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson, Michela Antonelli, Spyridon Bakas, arXiv (Cornell University) Data AnnotationMedical Image SegmentationEngineeringMachine LearningSemantic Segmentation Algorithms	2019	715
Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation Micah Sheller, G. Anthony Reina, Brandon Edwards, Lecture notes in computer science EngineeringMachine LearningBrain Tumor SegmentationFeasibility StudyDiagnostic Imaging	2019	512
Glioma progression is shaped by genetic evolution and microenvironment interactions Frederick S. Varn, Kevin C. Johnson, Jan Martínek, Cell Glioma ProgressionGliomaTumor HeterogeneityBiological MicroenvironmentsBrain Tumor Biology	2022	455
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII Burak Koçak, Spyridon Bakas, Renato Cuocolo, Insights into Imaging	2023	371

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