🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Lubomir M. Hadjiiski

University of Michigan

ORCID: 0000-0003-2069-8066

Also affiliated with Michigan United

Computer ScienceMedicine

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 2%percentile
3.1Author 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 →

Top data-sharing exemplar

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

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

Papers

Driven by 23 papers — median percentile 65. Top paper: “Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets”.

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

Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors

Cancers(2023)10.3390/cancers15174372
N/A
0.789DataRank · unranked
15 citations

Lubomir M. Hadjiiski, John Gormley, Heang‐Ping Chan, Elaine M. Caoili, Richard H. Cohan +4 more

Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning

Tomography(2023)10.3390/tomography9020048
Top 35%
0.557DataRank
Top 35%9 citations

Rami F. Mourad, Kevin Heist, Humera Tariq, Heang‐Ping Chan, Brian D. Ross +4 more

AI and machine learning in medical imaging: key points from development to translation

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae006
N/A
0.494DataRank · unranked
26 citations

Karen Drukker, Amita Shukla‐Dave, Heang‐Ping Chan, Berkman Sahiner, Nicholas Petrick +19 more

Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images

Medical Physics(2022)10.1002/mp.15810
N/A
0.483DataRank · unranked
24 citations

Chuan Zhou, Heang‐Ping Chan, Lubomir M. Hadjiiski, Aamer Chughtai, Ella A. Kazerooni +1 more

Enhancing Early Lung Cancer Diagnosis: Predicting Lung Nodule Progression in Follow-Up Low-Dose CT Scan with Deep Generative Model

Cancers(2024)10.3390/cancers16122229
N/A
0.425DataRank · unranked
16 citations

Chuan Zhou, Lei Ying, Heang‐Ping Chan, Elizabeth Lee, Aamer Chughtai +3 more

A minority of patients with functional seizures have abnormalities on neuroimaging

Journal of the Neurological Sciences(2021)10.1016/j.jns.2021.117548
N/A
0.385DataRank · unranked
12 citations

John K. Lee, Amir H. Karimi, Hiroyuki Tatekawa, L. Brian Hickman, Michael Connerney +15 more

Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosis

Scientific Reports(2025)10.1038/s41598-025-27593-7
N/A
0.241DataRank · unranked
4 citations

Lubomir M. Hadjiiski, Grace Bruno, John Gormley, Heang‐Ping Chan, Elaine M. Caoili +6 more

MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs

Journal of Medical Imaging(2025)10.1117/1.jmi.12.2.024505
Top 78%
0.104DataRank
Top 78%1 citations

Karen Drukker, Lubomir M. Hadjiiski, Carol C. Wu, Jayashree Kalpathy-Cramer, George Shih +9 more

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae003
N/A
0DataRank · unranked
38 citations

Amita Shukla‐Dave, Heang‐Ping Chan, Karen Drukker, Ravi K. Samala, Quan Chen +20 more

Outcome Prediction Using Multi-Modal Information: Integrating Large Language Model-Extracted Clinical Information and Image Analysis

Cancers(2024)10.3390/cancers16132402
N/A
0DataRank · unranked
24 citations

Lubomir M. Hadjiiski, John Gormley, Heang‐Ping Chan, Elaine M. Caoili, Richard H. Cohan +6 more

Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening

Radiology Cardiothoracic Imaging(2024)10.1148/ryct.230196
N/A
0DataRank · unranked
8 citations

Chuan Zhou, Lei Ying, Elizabeth Lee, Heang‐Ping Chan, Aamer Chughtai +3 more

A deep learning aided bone marrow segmentation of quantitative fat MRI for myelofibrosis patients

Frontiers in Oncology(2025)10.3389/fonc.2025.1498832
N/A
0DataRank · unranked
2 citations

Lubomir M. Hadjiiski, Dariya Malyarenko, Moshe Talpaz, Kristen Pettit, Gary D. Luker +3 more

Computer‐aided diagnosis in the era of deep learning

Medical Physics(2020)10.1002/mp.13764
N/A
0DataRank · unranked
348 citations

Lubomir M. Hadjiiski, Ravi K. Samala, Heang‐Ping Chan

Machine learning evaluation of pneumonia severity: subgroup performance in the Medical Imaging and Data Resource Center modified radiographic assessment of lung edema mastermind challenge

Journal of Medical Imaging(2025)10.1117/1.jmi.12.5.054502
N/A
0DataRank · unranked
0 citations

Samuel G. Armato, Lubomir M. Hadjiiski, Judy Wawira Gichoya, Nicholas P. Gruszauskas, Jayashree Kalpathy-Cramer +7 more

Effect of Dose Level on Radiologists’ Detection of Microcalcifications in Digital Breast Tomosynthesis: An Observer Study with Breast Phantoms

Academic Radiology(2020)10.1016/j.acra.2020.07.038
N/A
0DataRank · unranked
8 citations

Mark A. Helvie, Katherine A. Klein, Carol McLaughlin, Colleen H. Neal, Rebecca Oudsema +6 more

Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classification

Medical Physics(2020)10.1002/mp.14678
N/A
0DataRank · unranked
34 citations

Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala

Pathologic categorization of lung nodules: Radiomic descriptors of CT attenuation distribution patterns of solid and subsolid nodules in low-dose CT

European Journal of Radiology(2020)10.1016/j.ejrad.2020.109106
N/A
0DataRank · unranked
7 citations

Heang‐Ping Chan, Aamer Chughtai, Lubomir M. Hadjiiski, Ella A. Kazerooni, Jun Wei +1 more

Clinical MRI morphological analysis of functional seizures compared to seizure-naïve and psychiatric controls

Epilepsy & Behavior(2022)10.1016/j.yebeh.2022.108858
N/A
0DataRank · unranked
20 citations

Hiroyuki Tatekawa, John K. Lee, Amir H. Karimi, Siddhika S. Sreenivasan, Joseph O’Neill +15 more

Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete Annotation

IEEE Access(2022)10.1109/access.2022.3172958
N/A
0DataRank · unranked
5 citations

Heang‐Ping Chan, Lubomir M. Hadjiiski, Aamer Chughtai, Chuan Zhou

Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies

Cancers(2023)10.3390/cancers15225468
N/A
0DataRank · unranked
18 citations

Alfonso Lema-Dopico, Ramesh Paudyal, Amaresha Shridhar Konar, Thomas L. Chenevert, Dariya Malyarenko +8 more

AI in medical imaging grand challenges: translation from competition to research benefit and patient care

British Journal of Radiology(2023)10.1259/bjr.20221152
N/A
0DataRank · unranked
25 citations

Karen Drukker, Lubomir M. Hadjiiski, Samuel G. Armato

Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images

Medical Physics(2023)10.1002/mp.16439
N/A
0DataRank · unranked
4 citations

Mark A. Helvie, Mingjie Gao, Lubomir M. Hadjiiski, Chuan Zhou, Kim Garver +6 more