MingDe Lin

Guangzhou University of Chinese Medicine

Also affiliated with National Yang Ming Chiao Tung University, Yale University, Sage Technologies (United States)

MedicineNeuroscience

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 3%percentile

1.5Author DataRank

Indexed papers

3in 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 3 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.

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

Papers

Driven by 35 papers — median percentile 51. Top paper: “A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information”.

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

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-9bd3

Top 49%

0.361DataRank

Top 49%7 citations

Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Nader A. Fawzy +95 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

Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver

European Radiology(2021)10.1007/s00330-020-07559-1

N/A

0DataRank · unranked

83 citations

Clinton J. Wang, Lynn Jeanette Savic, Charlie Alexander Hamm, Sophie Stark, Isabel Schobert +10 more

Lipiodol as an intra-procedural imaging biomarker for liver tumor response to transarterial chemoembolization: Post-hoc analysis of a prospective clinical trial

Clinical Imaging(2021)10.1016/j.clinimag.2021.05.007

N/A

0DataRank · unranked

25 citations

Rohil Malpani, Milena Miszczuk, Quirina M. B. de Ruiter, Christopher W. Petty, Irvin Rexha +6 more

Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model

European Radiology(2021)10.1007/s00330-021-08337-3

N/A

0DataRank · unranked

23 citations

Jessica Gois Santana, Lynn Jeanette Savic, Fabian M. Laage Gaupp, Tabea Borde, Alexandra Petukhova-Greenstein +13 more

PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients

IEEE Transactions on Radiation and Plasma Medical Sciences(2021)10.1109/trpms.2021.3131999

N/A

0DataRank · unranked

14 citations

Hamed Yousefi, Niloufar Mirian, MingDe Lin, David Ménard, Matthew Gregory +8 more

What's Needed to Bridge the Gap Between US FDA Clearance and Real-world Use of AI Algorithms

Academic Radiology(2021)10.1016/j.acra.2021.10.007

N/A

0DataRank · unranked

8 citations

MingDe Lin

Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach

Journal of Vascular and Interventional Radiology(2021)10.1016/j.jvir.2021.12.017

N/A

0DataRank · unranked

7 citations

Christopher W. Petty, Junlin Yang, Neha Bhatt, Tal Zeevi, Vijay Chockalingam +9 more

Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma

Clinical Imaging(2021)10.1016/j.clinimag.2021.01.043

N/A

0DataRank · unranked

6 citations

Julius Chapiro, Alexandra Petukhova, Moritz Gross, Ahmet S. Kücükkaya, Rajiv Raju +9 more

Longitudinal Analysis of the Effect of Repeated Transarterial Chemoembolization for Liver Cancer on Portal Venous Pressure

Frontiers in Oncology(2021)10.3389/fonc.2021.639235

N/A

0DataRank · unranked

0 citations

Jae Ho Sohn, Ahmet Baş, Julius Chapiro, Ruediger E. Schernthaner, MingDe Lin +5 more

Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT

European Journal of Nuclear Medicine and Molecular Imaging(2022)10.1007/s00259-022-05718-8

N/A

0DataRank · unranked

62 citations

Bo Zhou, Huidong Xie, Luyao Shi, Hui Liu, Wolfgang Holler +6 more

Optimization of the BCLC Staging System for Locoregional Therapy for Hepatocellular Carcinoma by Using Quantitative Tumor Burden Imaging Biomarkers at MRI

Radiology(2022)10.1148/radiol.212426

N/A

0DataRank · unranked

40 citations

Nariman Nezami, Fabian M. Laage Gaupp, Lynn Jeanette Savic, Tamar H. Taddei, Ariel Jaffe +7 more

Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction

Frontiers in Neuroscience(2022)10.3389/fnins.2022.860208

N/A

0DataRank · unranked

33 citations

Khaled Bousabarah, Eve Kazarian, Tal Zeevi, Wolfgang Holler, Sara Merkaj +14 more

Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study

American Journal of Roentgenology(2022)10.2214/ajr.22.28077

N/A

0DataRank · unranked

27 citations

Tal Zeevi, Ahmet S. Kücükkaya, Rajiv Raju, Moritz Gross, Stefan P. Haider +12 more

DuDoSS: Deep‐learning‐based dual‐domain sinogram synthesis from sparsely sampled projections of cardiac SPECT

Medical Physics(2022)10.1002/mp.15958

N/A

0DataRank · unranked

24 citations

Bo Zhou, Huidong Xie, Tianshun Miao, Hui Liu, Wolfgang Holler +6 more

Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac116

N/A

0DataRank · unranked

21 citations

Khaled Bousabarah, T. Verma, Marc von Reppert, Leon Jekel, Ayyüce Gordem +10 more

Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

Frontiers in Oncology(2022)10.3389/fonc.2022.856231

N/A

0DataRank · unranked

18 citations

Sara Merkaj, Gabriel Cassinelli Petersen, Niklas Tillmanns, Harry Subramanian, Waverly Rose Brim +13 more

Analysis of Tumor Burden as a Biomarker for Patient Survival with Neuroendocrine Tumor Liver Metastases Undergoing Intra-Arterial Therapies: A Single-Center Retrospective Analysis

CardioVascular and Interventional Radiology(2022)10.1007/s00270-022-03209-9

N/A

0DataRank · unranked

18 citations

Julius Chapiro, Duc Do Minh, Johanna M. M. van Breugel, Susanne Smolka, Irvin Rexha +7 more

MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features

Journal of Vascular and Interventional Radiology(2022)10.1016/j.jvir.2022.04.006

N/A

0DataRank · unranked

14 citations

Tal Zeevi, Junlin Yang, Nathan Chai, Paul DiDomenico, Yanhong Deng +15 more

Impact of Chemoembolic Regimen on Immune Cell Recruitment and Immune Checkpoint Marker Expression following Transcatheter Arterial Chemoembolization in a VX2 Rabbit Liver Tumor Model

Journal of Vascular and Interventional Radiology(2022)10.1016/j.jvir.2022.03.026

N/A

0DataRank · unranked

12 citations

Jessica Gois Santana, Simon Iseke, Moritz Gross, Vasily Pekurovsky, Fabian M. Laage Gaupp +11 more

Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac093

N/A

0DataRank · unranked

7 citations

Avery E Lum, Gabriel Cassinelli, Sara Merkaj, T. Verma, Tal Zeevi +18 more

Three-Dimensional Quantitative Tumor Response and Survival Analysis of Hepatocellular Carcinoma Patients Who Failed Initial Transarterial Chemoembolization: Repeat or Switch Treatment?

Cancers(2022)10.3390/cancers14153615

N/A

0DataRank · unranked

1 citations

Reham R. Haroun, Sonia Sahu, Ruediger E. Schernthaner, Susanne Smolka, MingDe Lin +4 more

Comparing 3D, 2.5D, and 2D Approaches to Brain Image Segmentation

medRxiv(2022)10.1101/2022.11.03.22281923

N/A

0DataRank · unranked

9 citations

Sajid Hossain, MingDe Lin, Mariam Aboian, Harlan M. Krumholz, Sanjay Aneja +1 more

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Scientific Reports(2023)10.1038/s41598-023-34439-7

N/A

0DataRank · unranked

23 citations

Tal Zeevi, Nathan Chai, Rajiv Raju, Stefan P. Haider, Mohamed Elbanan +13 more

Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial

Neuro-Oncology Advances(2023)10.1093/noajnl/vdad172

N/A

0DataRank · unranked

9 citations

Divya Ramakrishnan, Sarah C. Brüningk, Fatima Memon, Sandra Abi Fadel, Nazanin Maleki +18 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

Intraprocedural C‐arm dual‐phase cone‐beam enhancement patterns correlate with tumor absorbed dose after radioembolization

Medical Physics(2023)10.1002/mp.16882

N/A

0DataRank · unranked

1 citations

MingDe Lin, Eric C. Frey, Hugo W. A. M. de Jong, Remco Bastiaannet

Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment ofBRAFV600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial

American Journal of Neuroradiology(2024)10.3174/ajnr.a8189

N/A

0DataRank · unranked

5 citations

Sarah C. Brüningk, Marc von Reppert, Fatima Memon, Nazanin Maleki, Sanjay Aneja +10 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

Outcomes of repeat conventional transarterial chemoembolization in patients with liver metastases

Annals of Hepatology(2024)10.1016/j.aohep.2024.101529

N/A

0DataRank · unranked

2 citations

Austin-Marley Windham-Herman, Menelaos Konstantinidis, Nikitha Murali, Tabea Borde, Lucas C. Adam +6 more

Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer

Scientific Reports(2020)10.1038/s41598-020-75120-7

N/A

0DataRank · unranked

16 citations

Clinton Wang, Lynn Jeanette Savic, Brian Letzen, Isabel Schobert, Milena Miszczuk +8 more

Noninvasive Tumor Profiling: Quantitative Contrast-enhanced MRI Markers Help Predict PD-L1 and CTNNB1 Status in Hepatocellular Carcinoma

Radiology(2025)10.1148/radiol.242750

N/A

0DataRank · unranked

7 citations

Rabea Sobirey, Margarita V. Revzin, Tal Zeevi, Moritz Gross, Victor Kasolowsky +15 more

Molecular MRI of the Immuno-Metabolic Interplay in a Rabbit Liver Tumor Model: A Biomarker for Resistance Mechanisms in Tumor-targeted Therapy?

Radiology(2020)10.1148/radiol.2020200373

N/A

0DataRank · unranked

26 citations

Luzie A. Doemel, Isabel Schobert, Ruth R. Montgomery, Nikhil S. Joshi, John J. Walsh +14 more

Predicting Infiltrative Hepatocellular Carcinoma Patient Outcome Post-TACE: MR Bias Field Correction Effect on 3D-quantitative Image Analysis

Journal of Clinical and Translational Hepatology(2020)10.14218/jcth.2020.00054

N/A

0DataRank · unranked

4 citations

Susanne Smolka, Xenophon Papademetris, Duc Do Minh, Geliang Gan, Yanhong Deng +6 more

MingDe Lin

Indexed papers

Top data-sharing exemplar

Papers