Juan Lavista Ferres

Also affiliated with Microsoft (Germany), Microsoft Research (United Kingdom)

Biochemistry, Genetics and Molecular BiologyEnvironmental ScienceEngineeringMathematicsMedicine

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 27 papers. Top paper: “Democratizing protein language models with parameter-efficient fine-tuning”.

Democratizing protein language models with parameter-efficient fine-tuning

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2405840121

N/A

0.663DataRank · unranked

82 citations

Meghana Kshirsagar, Minkyung Baek, Rahul Dodhia, Juan Lavista Ferres, Bonnie Berger +1 more

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features

medRxiv(2020)10.1101/2020.09.19.20198077

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0DataRank · unranked

9 citations

Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, Arman Rahmim +1 more

Survey data and human computation for improved flu tracking

Nature Communications(2021)10.1038/s41467-020-20206-z

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0DataRank · unranked

10 citations

Avleen S. Bijral, Richard Johnston, Juan Lavista Ferres, Gary King, Ryan Kennedy +3 more

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

medRxiv(2021)10.1101/2021.02.11.20196766

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0DataRank · unranked

12 citations

Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta +7 more

BindVAE: Dirichlet variational autoencoders for de novo motif discovery from accessible chromatin

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.23.461564

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0DataRank · unranked

1 citations

Han Yuan, Juan Lavista Ferres, Christina S. Leslie, Meghana Kshirsagar

Parameters of Chronic Kidney Disease to Identify Outpatients at Increased Risk for COVID-19 Mortality: A Cohort Study of UK Biobank Participants

The Open Urology & Nephrology Journal(2021)10.2174/1874303x02114010026

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0DataRank · unranked

0 citations

W. Conrad Liles, Nicholas Becker, Catherine Egan, Juan Lavista Ferres, Aaron Lee +2 more

Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes

Scientific Reports(2022)10.1038/s41598-022-05532-0

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0DataRank · unranked

41 citations

Anusua Trivedi, Jocelyn Desbiens, Marian Blazes, Caleb Robinson, Sunil Gupta +6 more

BindVAE: Dirichlet variational autoencoders for de novo motif discovery from accessible chromatin

Genome biology(2022)10.1186/s13059-022-02723-w

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0DataRank · unranked

19 citations

Han Yuan, Juan Lavista Ferres, Christina S. Leslie, Meghana Kshirsagar

Factors Associated With the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study

JMIR Public Health and Surveillance(2022)10.2196/37203

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0DataRank · unranked

15 citations

Jonathan T. Macy, Shaun J. Grannis, Ashley Wiensch, Juan Lavista Ferres, Brian E. Dixon +1 more

Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19

Scientific Reports(2022)10.1038/s41598-022-20724-4

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0DataRank · unranked

13 citations

Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan Lavista Ferres, Aaron Lee +3 more

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

PLoS ONE(2022)10.1371/journal.pone.0274098

N/A

0DataRank · unranked

20 citations

Caleb Robinson, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta +7 more

PSMA-Hornet: fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images

medRxiv(2022)10.1101/2022.02.02.22270344

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0DataRank · unranked

5 citations

Guillaume Chaussé, Ingrid Bloise, Juan Lavista Ferres, Carlos Uribe, Arman Rahmim +1 more

Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural network

Nature Communications(2023)10.1038/s41467-023-36699-3

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0DataRank · unranked

181 citations

Michael D. Ward, Jonathan Borowsky, Meghana Kshirsagar, Jeffrey M. Lotthammer, Felipe Oviedo +3 more

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss

Computers in Biology and Medicine(2023)10.1016/j.compbiomed.2023.106882

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0DataRank · unranked

40 citations

Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard +5 more

PSMA‐Hornet: Fully‐automated, multi‐target segmentation of healthy organs in PSMA PET/CT images

Medical Physics(2023)10.1002/mp.16658

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0DataRank · unranked

13 citations

Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan Lavista Ferres, Carlos Uribe +2 more

Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the U.S., 2011–2015

PLoS ONE(2023)10.1371/journal.pone.0284614

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0DataRank · unranked

1 citations

Anusua Trivedi, Ratna Chembrolu, Sanjana Gupta, Jan‐Marino Ramirez, Juan Lavista Ferres +3 more

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.09.566187

N/A

0DataRank · unranked

15 citations

Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan Lavista Ferres +1 more

Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing

medRxiv(2023)10.1101/2023.09.11.23295207

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0DataRank · unranked

0 citations

Lindsay V. Clark, Erdal Coşgun, Kimberly A. Aldinger, Andrew E. Timms, Lely A. Quina +13 more

Challenges of COVID-19 Case Forecasting in the US, 2020–2021

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011200

N/A

0DataRank · unranked

33 citations

Estee Y. Cramer, Roberto Pagano, John M. Drake, Eamon B. O’Dea, Madeline Adee +95 more

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Pancreatology(2024)10.1016/j.pan.2024.09.001

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0DataRank · unranked

8 citations

Felipe Oviedo, Caleb Robinson, Linda C. Chu, Satomi Kawamoto, Elham Afghani +13 more

Known pathogenic gene variants and new candidates detected in sudden unexpected infant death using whole genome sequencing

American Journal of Medical Genetics Part A(2024)10.1002/ajmg.a.63596

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0DataRank · unranked

6 citations

Lindsay V. Clark, Erdal Coşgun, Kimberly A. Aldinger, Andrew E. Timms, Lely A. Quina +13 more

Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2

JAMA Ophthalmology(2024)10.1001/jamaophthalmol.2023.6454

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0DataRank · unranked

12 citations

Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli +57 more

Rapid and accurate prediction of protein homo-oligomer symmetry with Seq2Symm

Research Square(2024)10.21203/rs.3.rs-4215086/v1

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0DataRank · unranked

6 citations

Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia +7 more

Challenges of COVID-19 Case Forecasting in the US, 2020–2021

UNC Libraries(2024)10.17615/k6z3-1y39

N/A

0DataRank · unranked

0 citations

Xing Xie, Weitong Zhang, Alison L. Hill, Brad Suchoski, Quanquan Gu +95 more

COVID-19 Pandemic-Era Changes in Sudden Unexpected Infant Death in the United States

Pediatrics Open Science(2025)10.1542/pedsos.2024-000364

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0DataRank · unranked

3 citations

Jan‐Marino Ramirez, William B. Weeks, Juan Lavista Ferres, Edwin A. Mitchell, Darren Tanner

Geographic Variation in Sudden Unexpected Infant Death in the United States

The Journal of Pediatrics(2020)10.1016/j.jpeds.2020.01.006

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0DataRank · unranked

19 citations

Xiaohan Yan, Shirley Ren, Tatiana M. Anderson, Jan‐Marino Ramirez, Juan Lavista Ferres +2 more

Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble Models

Ophthalmology Science(2025)10.1016/j.xops.2025.100710

N/A

0DataRank · unranked

3 citations

Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli +10 more