Joseph D. Janizek

University of Washington

Computer ScienceBiochemistry, Genetics and Molecular Biology

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 12 papers. Top paper: “Accurate classification of BRCA1 variants with saturation genome editing”.

Accurate classification of BRCA1 variants with saturation genome editing

Nature(2018)10.1038/s41586-018-0461-z

N/A

1.0DataRank · unranked

914 citations

Riza M. Daza, Beth Martin, Melissa D. Zhang, Anh P. Leith, Molly Gasperini +6 more

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Nature Machine Intelligence(2021)10.1038/s42256-021-00343-w

N/A

0.470DataRank · unranked

22 citations

Joseph D. Janizek, Pascal Sturmfels, Scott Lundberg, Su-In Lee, Gabriel Erion

Dissection of medical AI reasoning processes via physician and generative-AI collaboration

medRxiv(2023)10.1101/2023.05.12.23289878

N/A

0.406DataRank · unranked

14 citations

Zhuo Ran Cai, Joseph D. Janizek, Roxana Daneshjou, Su-In Lee, Alex J. DeGrave

AI for radiographic COVID-19 detection selects shortcuts over signal

Nature Machine Intelligence(2021)10.1038/s42256-021-00338-7

N/A

0DataRank · unranked

486 citations

Joseph D. Janizek, Su-In Lee, Alex J. DeGrave

Course Corrections for Clinical AI

Kidney360(2021)10.34067/kid.0004152021

N/A

0DataRank · unranked

1 citations

Joseph D. Janizek, Su-In Lee, Alex J. DeGrave

CoAI: Cost-Aware Artificial Intelligence for Health Care

medRxiv(2021)10.1101/2021.01.19.21249356

N/A

0DataRank · unranked

4 citations

Joseph D. Janizek, Carly Hudelson, Richard B. Utarnachitt, Andrew M. McCoy, Michael R. Sayre +3 more

A cost-aware framework for the development of AI models for healthcare applications

Nature Biomedical Engineering(2022)10.1038/s41551-022-00872-8

N/A

0DataRank · unranked

40 citations

Joseph D. Janizek, Carly Hudelson, Richard B. Utarnachitt, Andrew M. McCoy, Michael R. Sayre +3 more

Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians

Nature Biomedical Engineering(2023)10.1038/s41551-023-01160-9

N/A

0DataRank · unranked

50 citations

Zhuo Ran Cai, Joseph D. Janizek, Roxana Daneshjou, Su-In Lee, Alex J. DeGrave

PAUSE: principled feature attribution for unsupervised gene expression analysis

Genome biology(2023)10.1186/s13059-023-02901-4

N/A

0DataRank · unranked

25 citations

Anna Spiro, Safiye Çelik, Ben W. Blue, John Russell, Ting-I Lee +3 more

A deep profile of gene expression across 18 human cancers

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.17.585426

N/A

0DataRank · unranked

3 citations

Ayse B. Dincer, Joseph D. Janizek, Safiye Çelik, Mikaël J. Pittet, Kamila Naxerova +2 more

Adversarial deconfounding autoencoder for learning robust gene expression embeddings

Bioinformatics(2020)10.1093/bioinformatics/btaa796

N/A

0DataRank · unranked

87 citations

Joseph D. Janizek, Su-In Lee, Ayse B. Dincer

Adversarial Deconfounding Autoencoder for Learning Robust Gene Expression Embeddings

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.28.065052

N/A

0DataRank · unranked

5 citations

Joseph D. Janizek, Su-In Lee, Ayse B. Dincer