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

Lanhong Yao

Northwestern University

ORCID: 0000-0002-0694-442X
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 2%percentile
1.9Author DataRank

Indexed papers

2in 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 2 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.

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning

Medical Image Analysis(2024)10.1016/j.media.2024.103382
Top 14%
1.5DataRank
Top 14%61 citations

Elif Keleş, Görkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade +33 more

Papers

Driven by 8 papers — median percentile 68. Top paper: “Large-scale multi-center CT and MRI segmentation of pancreas with deep learning”.

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning

Medical Image Analysis(2024)10.1016/j.media.2024.103382
Top 14%
1.5DataRank
Top 14%61 citations

Elif Keleş, Görkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade +33 more

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

arXiv (Cornell University)(2024)10.48550/arxiv.2405.12367
Top 50%
0.351DataRank
Top 50%4 citations

Elif Keleş, Görkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade +33 more

Radiomics Boosts Deep Learning Model for IPMN Classification

Lecture notes in computer science(2023)10.1007/978-3-031-45676-3_14
N/A
0DataRank · unranked
17 citations

Zheyuan Zhang, Uğur Demir, Elif Keleş, Camila Lopes Vendrami, Emil Agarunov +12 more

DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model

arXiv (Cornell University)(2023)10.48550/arxiv.2310.12868
N/A
0DataRank · unranked
3 citations

Lanhong Yao, Bin Wang, Debesh Jha, Durak, Gorkem, Elif Keleş +3 more

Radiomics Boosts Deep Learning Model for IPMN Classification

arXiv (Cornell University)(2023)10.48550/arxiv.2309.05857
N/A
0DataRank · unranked
2 citations

Zheyuan Zhang, Uğur Demir, Elif Keleş, Camila Lopes Vendrami, Emil Agarunov +12 more

A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging

Current Opinion in Gastroenterology(2023)10.1097/mog.0000000000000966
N/A
0DataRank · unranked
51 citations

Zheyuan Zhang, Elif Keleş, Cemal Yazıcı, Temel Tirkes, Ulaş Bağcı +1 more

AdverIN: Monotonic adversarial intensity attack for domain generalization in medical image segmentation

Medical Image Analysis(2025)10.1016/j.media.2025.103848
N/A
0DataRank · unranked
0 citations

Bin Wang, Lanhong Yao, Elif Keleş, Debesh Jha, Matthew Antalek +7 more

Deep Learning Algorithms for Pancreas Segmentation from Radiology Scans

Advances in Clinical Radiology(2023)10.1016/j.yacr.2023.05.001
N/A
0DataRank · unranked
18 citations

Lanhong Yao, Elif Keleş, Yury Velichko, Ulaş Bağcı, Zheyuan Zhang