Spyridon Bakas

Also affiliated with Indiana University – Purdue University Indianapolis

MedicinePhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

39.2Author DataRank

Indexed papers

15in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 15 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680

Top 2%

7.2DataRank

Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Papers

Driven by 100 papers — median percentile 87. Top paper: “Metrics reloaded: recommendations for image analysis validation”.

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z

N/A

9.2DataRank · unranked

411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 more

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680

Top 2%

7.2DataRank

Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9

Top 3%

6.9DataRank

Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Insights into Imaging(2024)10.1186/s13244-023-01572-w

N/A

5.8DataRank · unranked

279 citations

Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo, Ángel Alberich‐Bayarri, Bettina Baeßler, Ilaria Ambrosini +55 more

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.2986331

Top 5%

4.6DataRank

Top 5%149 citations

Jan Kybic, Ignacio Arganda‐Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander Khvostikov +24 more

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

Radiology Artificial Intelligence(2022)10.1148/ryai.220058

Top 5%

4.2DataRank

Top 5%145 citations

Javier Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas +4 more

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

Scientific Data(2022)10.1038/s41597-022-01560-7

Top 5%

4.1DataRank

Top 5%172 citations

Chiharu Sako, Hamed Akbari, Michel Bilello, Aristeidis Sotiras, Gaurav Shukla +27 more

Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1

Scientific Data(2022)10.1038/s41597-022-01555-4

Top 7%

3.4DataRank

Top 7%18 citations

Sarthak Pati, Megh Bhalerao, Siddhesh Thakur, Nariman Jahani, Vivian Belenky +7 more

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031

Top 9%

2.4DataRank

Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset

Medical Physics(2020)10.1002/mp.14556

Top 13%

1.6DataRank

Top 13%43 citations

Ruchika Verma, Hamed Akbari, Michel Bilello, Virginia Hill, Chiharu Sako +11 more

Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine

Cancers(2021)10.3390/cancers13235921

N/A

1.5DataRank · unranked

75 citations

Stephen Bagley, Hamed Akbari, Sanjay Saxena, Sina Bagheri, Jun Guo +7 more

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Radiology(2020)10.1148/radiol.2020191145

N/A

1.2DataRank · unranked

3690 citations

Martin Vallières, Mahmoud A. Abdalah, Hugo J.W.L. Aerts, Vincent Andrearczyk, Aditya Apte +58 more

AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium

Neuro-Oncology(2020)10.1093/neuonc/noaa045

Top 17%

1.2DataRank

Top 17%59 citations

Jill S. Barnholtz‐Sloan, Spyridon Bakas, Rivka R. Colen, Abhishek Mahajan, Carmen Balañá +27 more

The future of digital health with federated learning

npj Digital Medicine(2020)10.1038/s41746-020-00323-1

N/A

1.2DataRank · unranked

2289 citations

Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni +12 more

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

JCO Clinical Cancer Informatics(2020)10.1200/cci.19.00121

Top 19%

1.1DataRank

Top 19%41 citations

Hamed Akbari, Garima Shukla, Chaitra Badve, Jeffrey D. Rudie, Chiharu Sako +17 more

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

Scientific Reports(2020)10.1038/s41598-020-69250-1

N/A

1.1DataRank · unranked

1289 citations

Brandon Edwards, G. Anthony Reina, Jason Martin, Sarthak Pati, Aikaterini Kotrotsou +6 more

GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows

Communications Engineering(2023)10.1038/s44172-023-00066-3

N/A

1.0DataRank · unranked

36 citations

Siddhesh Thakur, İbrahim Ethem Hamamcı, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao +37 more

A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information

Scientific Data(2024)10.1038/s41597-024-03021-9

Top 21%

0.980DataRank

Top 21%25 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0

N/A

0.783DataRank · unranked

184 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 more

Privacy preservation for federated learning in health care

Patterns(2024)10.1016/j.patter.2024.100974

N/A

0.767DataRank · unranked

165 citations

Sourav Kumar, A. Varma, Brandon Edwards, Charles Lu, Liangqiong Qu +10 more

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation

Scientific Data(2024)10.1038/s41597-024-03350-9

Top 29%

0.692DataRank

Top 29%19 citations

Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid +69 more

Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma

Scientific Reports(2022)10.1038/s41598-022-12699-z

N/A

0.675DataRank · unranked

89 citations

Sanjay Saxena, Erik Toorens, Danni Tu, Vishnu Bashyam, Hamed Akbari +17 more

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

arXiv (Cornell University)(2023)10.48550/arxiv.2305.07642

N/A

0.494DataRank · unranked

26 citations

Maruf Adewole, Michelle Alonso‐Basanta, Talissa A. Altes, Syed Muhammad Anwar, Ujjwal Baid +55 more

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Neuroradiology(2023)10.1007/s00234-023-03196-9

N/A

0.489DataRank · unranked

25 citations

Sohil H. Patel, Suyash Mohan, Hamed Akbari, Spyridon Bakas, MacLean P. Nasrallah +79 more

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904

Top 44%

0.420DataRank

Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 more

TMIC-60. BRATS-PATH: ASSESSING HETEROGENEOUS HISTOPATHOLOGIC REGIONS IN GLIOBLASTOMA

Neuro-Oncology(2024)10.1093/neuonc/noae165.1238

Top 60%

0.253DataRank

Top 60%1 citations

Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati +17 more

A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information

arXiv (Cornell University)(2023)10.48550/arxiv.2309.05053

Top 65%

0.195DataRank

Top 65%2 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b

N/A

0DataRank · unranked

53 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

Physics in Medicine and Biology(2022)10.1088/1361-6560/ac9449

N/A

0DataRank · unranked

44 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Patrick Foley, G. Anthony Reina +9 more

Robust Image Population Based Stain Color Normalization: How Many Reference Slides Are Enough?

IEEE Open Journal of Engineering in Medicine and Biology(2022)10.1109/ojemb.2023.3234443

N/A

0DataRank · unranked

10 citations

Caleb M. Grenko, Andrew A. Chen, Angela N. Viaene, MacLean D. Nasrallah, Sarthak Pati +8 more

Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions

Frontiers in Medicine(2022)10.3389/fmed.2022.797586

N/A

0DataRank · unranked

9 citations

Matthew K. Schindler, Michel Bilello, Spyridon Bakas, Siddhesh Thakur

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Medical Image Analysis(2022)10.1016/j.media.2022.102628

N/A

0DataRank · unranked

6 citations

Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard +35 more

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653

N/A

0DataRank · unranked

62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features

Scientific Data(2022)10.1038/s41597-022-01415-1

N/A

0DataRank · unranked

17 citations

Camelia Bencheqroun, Krithika Bhuvaneshwar, Anas Belouali, Spyridon Bakas, Chiharu Sako +5 more

Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures

Lecture notes in computer science(2022)10.1007/978-3-030-94907-5_6

N/A

0DataRank · unranked

15 citations

Sarthak Pati, Spyridon Bakas, Orhun Güley

Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments

Lecture notes in computer science(2022)10.1007/978-3-031-08999-2_12

N/A

0DataRank · unranked

7 citations

Sarthak Pati, Ravi Panchumarthy, Deepthi Karkada, Junwen Wu, Dmitry Kurtaev +4 more

The Radiogenomic and Spatiogenomic Landscapes of Glioblastoma, and their Relationship to Oncogenic Drivers

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.15.517767

N/A

0DataRank · unranked

3 citations

Hamed Akbari, Xiaoju Hu, Vikas Bommineni, Dimitris Grigoriadis, Erik Toorens +19 more

Artificial-intelligence-driven volumetric breast density estimation with digital breast tomosynthesis in a racially diverse screening cohort.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.e13538

N/A

0DataRank · unranked

1 citations

Walter C. Mankowski, Sarthak Pati, Spyridon Bakas, Ari D. Brooks, Celine M. Vachon +4 more

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings

Zurich Open Repository and Archive (University of Zurich)(2022)10.48550/arxiv.2205.10355

N/A

0DataRank · unranked

0 citations

Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster +12 more

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Insights into Imaging(2023)10.1186/s13244-023-01415-8

N/A

0DataRank · unranked

430 citations

Bettina Baeßler, Spyridon Bakas, Renato Cuocolo, Andriy Fedorov, Lena Maier‐Hein +8 more

Federated benchmarking of medical artificial intelligence with MedPerf

Nature Machine Intelligence(2023)10.1038/s42256-023-00652-2

N/A

0DataRank · unranked

153 citations

Renato Umeton, Micah Sheller, Alejandro Aristizábal, Johnu George, Anna Wuest +69 more

Within-Modality Synthesis and Novel Radiomic Evaluation of Brain MRI Scans

Cancers(2023)10.3390/cancers15143565

N/A

0DataRank · unranked

61 citations

Nahid Chegeni, Fariborz Baghaei Naeini, Dimitrios Makris, Spyridon Bakas, Seyed Masoud Rezaeijo

The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

Cancer Research(2023)10.1158/0008-5472.can-23-2093

N/A

0DataRank · unranked

57 citations

Thaís S. Sabedot, Natalia S. Morosini, Indrani Datta, Luciano Garofano, Wies Vallentgoed +67 more

Generative adversarial networks based skin lesion segmentation

Scientific Reports(2023)10.1038/s41598-023-39648-8

N/A

0DataRank · unranked

37 citations

Prasad Dutande, Ujjwal Baid, Venu Pokuri, Spyridon Bakas, Sanjay N. Talbar +3 more

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

The Journal of Machine Learning for Biomedical Imaging(2023)10.59275/j.melba.2023-dg1f

N/A

0DataRank · unranked

37 citations

Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner +14 more

Artificial intelligence-based locoregional markers of brain peritumoral microenvironment

Scientific Reports(2023)10.1038/s41598-022-26448-9

N/A

0DataRank · unranked

11 citations

Drew Parker, Hamed Akbari, Ronald L. Wolf, Steven Brem, Spyridon Bakas +2 more

Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction

American Journal of Neuroradiology(2023)10.3174/ajnr.a8000

N/A

0DataRank · unranked

7 citations

Leon Jekel, Marc von Reppert, Niklas Tillmanns, Sara Merkaj, Gabriel Cassinelli Petersen +19 more

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011

N/A

0DataRank · unranked

12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis

Lecture notes in computer science(2023)10.1007/978-3-031-33842-7_6

N/A

0DataRank · unranked

8 citations

Sarthak Pati, Bjoern Menze, Spyridon Bakas, Bhakti Baheti

Why is the Winner the Best?

Amsterdam UMC (VU Amsterdam) - Institutional Repository(2023)10.1109/cvpr52729.2023.01911

N/A

0DataRank · unranked

6 citations

Andreas Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Thomas Adler +95 more

Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful?

arXiv (Cornell University)(2023)10.48550/arxiv.2306.03255

N/A

0DataRank · unranked

2 citations

Andrei A. Ivanov, John Chamberlin, David A. Hanauer, Candace L. Savonen, Mary J. Goldman +22 more

Why is the winner the best?

arXiv (Cornell University)(2023)10.48550/arxiv.2303.17719

N/A

0DataRank · unranked

1 citations

Annika Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Tim Adler +95 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice

The Lancet Oncology(2024)10.1016/s1470-2045(24)00315-2

N/A

0DataRank · unranked

28 citations

Philipp Kickingereder, Norbert Galldiks, Thomas C. Booth, Hugo J.W.L. Aerts, Wenya Linda Bi +21 more

Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach

Scientific Reports(2024)10.1038/s41598-024-55072-y

N/A

0DataRank · unranked

26 citations

Anahita Fathi Kazerooni, Erik Toorens, Hamed Akbari, Fanyang Yu, Chiharu Sako +15 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements

The Lancet Oncology(2024)10.1016/s1470-2045(24)00316-4

N/A

0DataRank · unranked

24 citations

Spyridon Bakas, Pallavi Tiwari, Janine Lupo, Evan Calabrese, Christos Davatzikos +21 more

Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study

Neuro-Oncology(2024)10.1093/neuonc/noae260

N/A

0DataRank · unranked

12 citations

Spyridon Bakas, Chiharu Sako, Anahita Fathi Kazerooni, Javier Villanueva-Meyer, José García +83 more

Prognostic stratification of glioblastoma patients by unsupervised clustering of morphology patterns on whole slide images furthering our disease understanding

Frontiers in Neuroscience(2024)10.3389/fnins.2024.1304191

N/A

0DataRank · unranked

10 citations

Shubham Innani, MacLean Nasrallah, Spyridon Bakas, Bhakti Baheti

Sex-Specific Differences in Patients withIDH1–Wild-Type Grade 4 Glioma in the ReSPOND Consortium

American Journal of Neuroradiology(2024)10.3174/ajnr.a8319

N/A

0DataRank · unranked

6 citations

José García, Nisha Korakavi, Nirav Patil, Hamed Akbari, Andrew E. Sloan +20 more

Optimized Whole-Slide-Image H&E Stain Normalization: A Step Towards Big Data Integration in Digital Pathology

IEEE Open Journal of Engineering in Medicine and Biology(2024)10.1109/ojemb.2024.3455011

N/A

0DataRank · unranked

3 citations

Carlos Agraz, Andrew A. Chen, Charles L. Rice, Robert S. Pozos, Sven Aelterman +13 more

Best practices to evaluate the impact of biomedical research software—metric collection beyond citations

Bioinformatics(2024)10.1093/bioinformatics/btae469

N/A

0DataRank · unranked

6 citations

Andrei A. Ivanov, John Chamberlin, David A. Hanauer, Candace L. Savonen, M Goldman +22 more

Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging

Neuro-Oncology Advances(2024)10.1093/noajnl/vdae157

N/A

0DataRank · unranked

5 citations

Nader A. Fawzy, Leon Jekel, Marc von Reppert, Niklas Tillmanns, Klara Willms +13 more

Federated learning as a catalyst for digital healthcare innovations

Patterns(2024)10.1016/j.patter.2024.101026

N/A

0DataRank · unranked

6 citations

Brandon Edwards, Spyridon Bakas, Qi Dou, Daguang Xu, Xiaoxiao Li +2 more

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

arXiv (Cornell University)(2024)10.48550/arxiv.2404.15009

N/A

0DataRank · unranked

7 citations

Nastaran Khalili, Xinyang Liu, Deep Gandhi, Zhifan Jiang, Syed Muhammed Anwar +66 more

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18435

N/A

0DataRank · unranked

5 citations

Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler +75 more

Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning

(2024)10.1109/bigdata62323.2024.10825083

N/A

0DataRank · unranked

1 citations

Sarthak Pati, Tahsin Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra +4 more

GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging

arXiv (Cornell University)(2024)10.48550/arxiv.2410.00173

N/A

0DataRank · unranked

0 citations

Szymon Mazurek, Spyridon Bakas, Sarthak Pati

Response Assessment in Neuro-Oncology (RANO) 2009–2025: Broad scope and implementation—A progress report

Neuro-Oncology(2025)10.1093/neuonc/noaf118

N/A

0DataRank · unranked

8 citations

Michael A. Vogelbaum, Timothy F. Cloughesy, Norbert Galldiks, Nathalie L. Albert, Joerg-Christian Tonn +30 more

Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With Glioblastoma

Modern Pathology(2025)10.1016/j.modpat.2025.100797

N/A

0DataRank · unranked

8 citations

Sunny Rai, Shubham Innani, Garv Mehdiratta, William R. Bell, Sharath Chandra Guntuku +3 more

Optimization of deep learning models for inference in low resource environments

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.110615

N/A

0DataRank · unranked

2 citations

Sarthak Pati, Junwen Wu, Ravi Panchumarthy, Deepthi Karkada, Alexander Kozlov +8 more

Interpretable artificial intelligence based determination of glioma IDH mutation status directly from histology slides

Neuro-Oncology Advances(2025)10.1093/noajnl/vdaf140

N/A

0DataRank · unranked

2 citations

William R. Bell, Hannah Harmsen, MacLean P. Nasrallah, Bhakti Baheti, Spyridon Bakas +1 more

AI-driven WHO 2021 classification of gliomas based only on H&E-stained slides

Neuro-Oncology(2025)10.1093/neuonc/noaf189

N/A

0DataRank · unranked

2 citations

William R. Bell, MacLean P Nasrallah, Bhakti Baheti, Spyridon Bakas, Shubham Innani

GlioMODA: Robust Glioma Segmentation in Clinical Routine

medRxiv(2025)10.1101/2025.11.12.25339968

N/A

0DataRank · unranked

1 citations

Josef A. Buchner, Marcel Rosier, Michael Griessmair, Jan C. Peeken, Jan S. Kirschke +6 more

Informatics at the Frontier of Cancer Research

Cancer Research(2025)10.1158/0008-5472.can-24-2829

N/A

0DataRank · unranked

0 citations

Taxiarchis Botsis, Pablo G. Cámara, Lauren Ciotti, Lee Cooper, Jeremy Goecks +19 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

UNC Libraries(2025)10.17615/k55d-nq81

N/A

0DataRank · unranked

0 citations

Qian Wang, Avinash Kori, Mahendra Khened, Tianhao Zhao, Keyvan Farahani +19 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00027

N/A

0DataRank · unranked

98 citations

Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang +19 more

Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma

Cancer(2020)10.1002/cncr.32790

N/A

0DataRank · unranked

93 citations

Saima Rathore, Spyridon Bakas, MacLean P. Nasrallah, Gaurav Shukla, Elizabeth Mamourian +15 more

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

NeuroImage(2020)10.1016/j.neuroimage.2020.117081

N/A

0DataRank · unranked

84 citations

Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello +19 more

Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology

Annual Review of Biomedical Engineering(2020)10.1146/annurev-bioeng-062117-121105

N/A

0DataRank · unranked

63 citations

Spyridon Bakas, Shashank Subramanian, Christos Davatzikos, George Biros, Andreas Mang

Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)

Neuro-Oncology Advances(2020)10.1093/noajnl/vdaa128

N/A

0DataRank · unranked

24 citations

Suyash Mohan, Spyridon Bakas, Chiharu Sako, Chaitra Badve, Sarthak Pati +16 more

Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities

Journal of Medical Imaging(2020)10.1117/1.jmi.7.3.031505

N/A

0DataRank · unranked

55 citations

Gaurav Shukla, Hamed Akbari, Guray Erus, Aristeidis Sotiras, Saima Rathore +7 more

Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00065

N/A

0DataRank · unranked

54 citations

Ravi Panchumarthy, Siddhesh Thakur, Alexei Bastidas, Spyridon Bakas, G. Anthony Reina

iGLASS: imaging integration into the Glioma Longitudinal Analysis Consortium

Neuro-Oncology(2020)10.1093/neuonc/noaa160

N/A

0DataRank · unranked

20 citations

D. Ryan Ormond, Kristin Alfaro-Munoz, Marion Smits, Lee Alex Donald Cooper, Roel G.W. Verhaak +2 more

Analyzing magnetic resonance imaging data from glioma patients using deep learning

Computerized Medical Imaging and Graphics(2020)10.1016/j.compmedimag.2020.101828

N/A

0DataRank · unranked

47 citations

Fabian Isensee, Roland Wiest, Benedikt Wiestler, Klaus Maier‐Hein, Mauricio Reyes +2 more

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Lecture notes in computer science(2020)10.1007/978-3-030-46643-5_38

N/A

0DataRank · unranked

90 citations

Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo +20 more

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Lecture notes in computer science(2020)10.1007/978-3-030-46640-4_6

N/A

0DataRank · unranked

29 citations

Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar +5 more

Towards Population-Based Histologic Stain Normalization of Glioblastoma

Lecture notes in computer science(2020)10.1007/978-3-030-46640-4_5

N/A

0DataRank · unranked

7 citations

Angela N. Viaene, MacLean P. Nasrallah, Michael D. Feldman, Hamed Akbari, Spyridon Bakas +1 more

O-Net: An Overall Convolutional Network for Segmentation Tasks

Lecture notes in computer science(2020)10.1007/978-3-030-59861-7_21

N/A

0DataRank · unranked

4 citations

Aimilia Gastounioti, Lauren Pantalone, Christos Davatzikos, Spyridon Bakas, Despina Kontos +1 more

A Deep Network for Joint Registration and Reconstruction of Images with Pathologies

Lecture notes in computer science(2020)10.1007/978-3-030-59861-7_35

N/A

0DataRank · unranked

0 citations

Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello +3 more

Radiomics analysis for predicting pembrolizumab response in patients with advanced rare cancers

Journal for ImmunoTherapy of Cancer(2021)10.1136/jitc-2020-001752

N/A

0DataRank · unranked

54 citations

Christian Rolfo, Murat Ak, Mira Ayoub, Sara Ahmed, Nabil Elshafeey +13 more

Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration

Applied Sciences(2021)10.3390/app11041892

N/A

0DataRank · unranked

28 citations

Sarthak Pati, Michael D. Feldman, MacLean P. Nasrallah, Paul A. Yushkevich, Spyridon Bakas +1 more

Quantifying T2-FLAIR Mismatch Using Geographically Weighted Regression and Predicting Molecular Status in Lower-Grade Gliomas

American Journal of Neuroradiology(2021)10.3174/ajnr.a7341

N/A

0DataRank · unranked

15 citations

Visweswaran Ravikumar, Elisa Warner, Sohil H. Patel, Spyridon Bakas, Arvind Rao +2 more

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

Edinburgh Research Explorer (University of Edinburgh)(2021)10.48550/arxiv.2103.01006

N/A

0DataRank · unranked

10 citations

Siddhesh Thakur, Bhalerao, Megh, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao +21 more

Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs

Applied Sciences(2021)10.3390/app11167488

N/A

0DataRank · unranked

6 citations

Ashish Singh, Spyridon Bakas, Sarthak Pati, Saima Rathore, Hamed Akbari +18 more

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642

N/A

0DataRank · unranked

87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 more

The epigenetic evolution of gliomas is determined by their IDH1 mutation status and treatment regimen

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.09.455687

N/A

0DataRank · unranked

2 citations

Thaís S. Sabedot, Indrani Datta, Luciano Garofano, Wies Vallentgoed, Frederick S. Varn +35 more

Longitudinal analysis of diffuse glioma reveals cell state dynamics at recurrence associated with changes in genetics and the microenvironment

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.03.442486

N/A

0DataRank · unranked

14 citations

Kevin C. Johnson, Taylor Wade, Tathiane M. Malta, Thaís S. Sabedot, Floris P Barthel +26 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074

N/A

0DataRank · unranked

7 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

Author response to Cunha et al

Journal for ImmunoTherapy of Cancer(2021)10.1136/jitc-2021-003299

N/A

0DataRank · unranked

5 citations

Christian Rolfo, Murat Ak, Mira Ayoub, Sara Ahmed, Nabil Elshafeey +13 more

Glioma progression is shaped by genetic evolution and microenvironment interactions

Cell(2022)10.1016/j.cell.2022.04.038

N/A

0DataRank · unranked

506 citations

Kevin C. Johnson, Jan Martinek, Jason T. Huse, MacLean P. Nasrallah, Pieter Wesseling +53 more

OpenFL: the open federated learning library

Physics in Medicine and Biology(2022)10.1088/1361-6560/ac97d9

N/A

0DataRank · unranked

125 citations

Micah Sheller, Brandon Edwards, Sarthak Pati, Walter Riviera, Mansi Sharma +7 more

Spyridon Bakas

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