Lucas A. Salas

12 papers Misc 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models.
EMNLP (Findings)
Weiyi Wu, Xinwen Xu, Chongyang Gao, Xingjian Diao, Siting Li, Lucas A. Salas, Jiang Gui
2025 J jnl
Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models.
CoRR
Weiyi Wu, Xinwen Xu, Chongyang Gao, Xingjian Diao, Siting Li, Lucas A. Salas, Jiang Gui
2025 — conf
Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity.
BIOSTEC (1)
Michael Y. Fatemi, Yunrui Lu, Zarif L. Azher, Cyril Sharma, Eric Feng, Alos B. Diallo, Gokul Srinivasan, Grace M. Rosner, Kelli B. Pointer, Brock C. Christensen, Lucas A. Salas, Gregory J. Tsongalis, Scott M. Palisoul, Laurent Perreard, Frederick W. Kolling IV, Louis J. Vaickus, Joshua J. Levy
2024 J jnl
An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology.
Briefings Bioinform.
Michael Y. Fatemi, Yunrui Lu, Alos B. Diallo, Gokul Srinivasan, Zarif L. Azher, Brock C. Christensen, Lucas A. Salas, Gregory J. Tsongalis, Scott Palisoul, Laurent Perreard, Frederick W. Kolling IV, Louis J. Vaickus, Joshua J. Levy
2023 J jnl
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.
BioData Min.
Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy
2022 J jnl
A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures.
Frontiers Bioinform.
Shelby Bell-Glenn, Jeffrey A. Thompson, Lucas A. Salas, Devin C. Koestler
2022 Misc conf
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction.
SAC
Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy
2022 — conf
Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images.
GeoMedIA
Ramya Reddy, Ram Reddy, Cyril Sharma, Christopher R. Jackson, Scott Palisoul, Rachael Barney, Fred Kolling, Lucas A. Salas, Brock C. Christensen, Gabriel Brooks, Gregory J. Tsongalis, Louis J. Vaickus, Joshua J. Levy
2022 J jnl
MethylMasteR: A Comparison and Customization of Methylation-Based Copy Number Variation Calling Software in Cancers Harboring Large Scale Chromosomal Deletions.
Frontiers Bioinform.
Michael P. Mariani, Jennifer A. Chen, Ze Zhang, Steven C. Pike, Lucas A. Salas
2020 J jnl
MethylNet: an automated and modular deep learning approach for DNA methylation analysis.
BMC Bioinform.
Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen
2020 Misc conf
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology.
PSB
Joshua J. Levy, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, Louis J. Vaickus
2019 J jnl
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.
Bioinform.
Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen