Md Mahfuzur Rahman Siddiquee

Also affiliated with Arizona State University

MedicineComputer Science

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 11 papers. Top paper: “UNet++: A Nested U-Net Architecture for Medical Image Segmentation”.

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Lecture Notes in Computer Science(2018)10.1007/978-3-030-00889-5_1

N/A

1.4DataRank · unranked

8708 citations

Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang, Zongwei Zhou

Leveraging multi-modal foundation model image encoders to enhance brain MRI-based headache classification

Scientific Reports(2025)10.1038/s41598-025-18507-8

N/A

0.269DataRank · unranked

5 citations

Devam Sheth, Yiming Che, Jay Shah, Md Mahfuzur Rahman Siddiquee, Catherine D. Chong +7 more

Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

Journal of Alzheimer s Disease(2023)10.3233/jad-221261

N/A

0DataRank · unranked

20 citations

Md Mahfuzur Rahman Siddiquee, Janina Krell‐Roesch, Jeremy A. Syrjanen, Walter K. Kremers, Maria Vassilaki +4 more

Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images

arXiv (Cornell University)(2023)10.48550/arxiv.2302.09200

N/A

0DataRank · unranked

6 citations

Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Gina Dumkrieger +3 more

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3485554

N/A

0DataRank · unranked

19 citations

Céline Steger, Roxane Licandro, Priscille De Dumast, Hongwei Li, Matthew J. Barkovich +62 more

Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images

PubMed(2024)10.1109/wacv57701.2024.00740

N/A

0DataRank · unranked

11 citations

Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Gina Dumkrieger +3 more

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2403.19425

N/A

0DataRank · unranked

8 citations

Mauricio Reyes, Sook‐Lei Liew, A. Hutton, Roland Wiest, Johannes Kaesmacher +53 more

Ordinal Classification with Distance Regularization for Robust Brain Age Prediction

PubMed(2024)10.1109/wacv57701.2024.00770

N/A

0DataRank · unranked

6 citations

Md Mahfuzur Rahman Siddiquee, Yi Su, Teresa Wu, Baoxin Li, Jay Shah

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)(2024)10.48550/arxiv.2402.09463

N/A

0DataRank · unranked

0 citations

Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Li, Matthew J. Barkovich +62 more

DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge

Nature Communications(2025)10.1038/s41467-025-62373-x

N/A

0DataRank · unranked

15 citations

Mauricio Reyes, Sook‐Lei Liew, A. Hutton, Roland Wiest, Johannes Kaesmacher +54 more

Headache classification and automatic biomarker extraction from structural MRIs using deep learning

Brain Communications(2022)10.1093/braincomms/fcac311

N/A

0DataRank · unranked

31 citations

Jay Shah, Catherine D. Chong, Simona Nikolova, Gina Dumkrieger, Baojie Li +3 more