Hamed Akbari

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

8.0Author DataRank

Indexed papers

4in 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 4 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 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

Papers

Driven by 29 papers — median percentile 85. Top paper: “The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics”.

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

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

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

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

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

0.683DataRank · unranked

94 citations

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

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

0.515DataRank · unranked

30 citations

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

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

0.483DataRank · unranked

24 citations

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

PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration

UNC Libraries(2020)10.17615/qds8-7b30

N/A

0DataRank · unranked

0 citations

Kilian M. Pohl, Dongjin Kwon, Michel Bilello, Marc Niethammer, Christos Davatzikos +1 more

Predicting pediatric optic pathway glioma progression using advanced magnetic resonance image analysis and machine learning

Neuro-Oncology Advances(2020)10.1093/noajnl/vdaa090

N/A

0DataRank · unranked

14 citations

Hamed Akbari, Martin Rozycki, Jayesh P. Thawani, Phillip B. Storm, Robert A. Avery +5 more

Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging

Brain Communications(2021)10.1093/braincomms/fcab264

N/A

0DataRank · unranked

15 citations

Mohamad Habes, Nicholas Illenberger, Ali Ezzati, Richard B. Lipton, Pamela A. Shaw +6 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

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

Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma

NMR in Biomedicine(2022)10.1002/nbm.4719

N/A

0DataRank · unranked

27 citations

Sultan Bukhari, Omar M. Afridi, Sumei Wang, Santosh K. Yadav, Hamed Akbari +8 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

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

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-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

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

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

Predicting peritumoral glioblastoma infiltration and subsequent recurrence using deep-learning–based analysis of multi-parametric magnetic resonance imaging

Journal of Medical Imaging(2024)10.1117/1.jmi.11.5.054001

N/A

0DataRank · unranked

13 citations

Hamed Akbari, José García, Suyash Mohan, Yehuda Dicker, Chiharu Sako +21 more

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

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

Intratumoral preservation of the stem-like malignant cell proportion in glioblastoma, prognostic impact, and its radiomethylomic signatures

Neuro-Oncology(2025)10.1093/neuonc/noaf175

N/A

0DataRank · unranked

1 citations

Omkar Singh, José García, Zied Abdullaev, Nelson F. Freeburg, Fanyang Yu +15 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

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

Hamed Akbari

Indexed papers

Top data-sharing exemplar

Papers