Louis J. Vaickus
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2020–2022
Best venue rank
Multiconference
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | SAC | Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction. | Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy |
| 2022 | SAC | Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes. | Christian Haudenschild, Louis J. Vaickus, Joshua J. Levy |
| 2021 | AIME | A Petri Dish for Histopathology Image Analysis. | 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 | PSB | Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks. | Joshua J. Levy, Christian Haudenschild, Clark Barwick, Brock C. Christensen, Louis J. Vaickus |
| 2021 | WACV | Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. | 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 | PSB | PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology. | Joshua J. Levy, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, Louis J. Vaickus |