Louis J. Vaickus

19 papers A 1B 1Misc 4Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
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
2024 — conf
Mapping Three-Dimensional Tumor Heterogeneity through Deep Learning Inference of Spatial Transcriptomics from Routine Histopathology: A Proof-of-Concept Comparative Study.
ML4H@NeurIPS
Zarif L. Azher, Gokul Srinivasan, Keluo Yao, Minh-Khang Le, Ken Lau, Harsimran Kaur, Fred Kolling, Louis J. Vaickus, Xiaoying Lu, 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 Misc conf
Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes.
SAC
Christian Haudenschild, Louis J. Vaickus, Joshua J. Levy
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
2021 B conf
A Petri Dish for Histopathology Image Analysis.
AIME
Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021 J jnl
A Petri Dish for Histopathology Image Analysis.
CoRR
Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021 A conf
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification.
WACV
Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021 Misc conf
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks.
PSB
Joshua J. Levy, Christian Haudenschild, Clark Barwick, Brock C. Christensen, Louis J. Vaickus
2020 J jnl
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification.
CoRR
Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2020 J jnl
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails.
CoRR
Joshua J. Levy, Rebecca M. Lebeaux, Anne G. Hoen, Brock C. Christensen, Louis J. Vaickus, Todd A. MacKenzie
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
2020 — conf
Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center.
BIOINFORMATICS
Joshua J. Levy, Christopher R. Jackson, Aravindhan Sriharan, Brock C. Christensen, Louis J. Vaickus
2019 J jnl
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation.
CoRR
Jason W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Naofumi Tomita, Behnaz Abdollahi, Adam S. Kim, Dale C. Snover, John A. Baron, Elizabeth L. Barry, Saeed Hassanpour
2019 — conf
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images.
ML4H@NeurIPS
Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
2019 J jnl
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images.
CoRR
Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
2019 J jnl
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.
CoRR
Jason W. Wei, Laura J. Tafe, Yevgeniy A. Linnik, Louis J. Vaickus, Naofumi Tomita, Saeed Hassanpour