Gabriele Campanella

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Image Reconstruction

Multiple Instance

Survival Analysis

Positron Emission Tomography

Top Venues

Medical Image Anal.

Publications

Gabriele Campanella, Shengjia Chen, Ruchika Verma, Jennifer Zeng, Aryeh Stock, Matt Croken, Brandon Veremis, Abdulkadir Elmas, Kuan-Lin Huang, Ricky Kwan, Jane Houldsworth, Adam Schoenfeld, Chad M. Vanderbilt
A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models. CoRR (2024)
Shengjia Chen, Gabriele Campanella, Abdulkadir Elmas, Aryeh Stock, Jennifer Zeng, Alexandros D. Polydorides, Adam Schoenfeld, Kuan-Lin Huang, Jane Houldsworth, Chad M. Vanderbilt, Thomas J. Fuchs
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective. CoRR (2024)
Gabriele Campanella, Eugene Fluder, Jennifer Zeng, Chad M. Vanderbilt, Thomas J. Fuchs
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling. CoRR (2024)
Gabriele Campanella, Ricky Kwan, Eugene Fluder, Jennifer Zeng, Aryeh Stock, Brandon Veremis, Alexandros D. Polydorides, Cyrus Hedvat, Adam Schoenfeld, Chad M. Vanderbilt, Patricia H. Kovatch, Carlos Cordon-Cardo, Thomas J. Fuchs
Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images. CoRR (2023)
Gabriele Campanella, Lucas Kook, Ida Häggström, Torsten Hothorn, Thomas J. Fuchs
Deep conditional transformation models for survival analysis. CoRR (2022)
Gabriele Campanella, David Joon Ho, Ida Häggström, Anton S. Becker, Jason Chang, Chad M. Vanderbilt, Thomas J. Fuchs
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma. CoRR (2022)
Chensu Xie, Hassan Muhammad, Chad M. Vanderbilt, Raul Caso, Dig Vijay Kumar Yarlagadda, Gabriele Campanella, Thomas J. Fuchs
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning. MIDL (2020)
Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Börner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber L. Simpson, Thomas J. Fuchs
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder. MICCAI (1) (2019)
Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Börner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber L. Simpson, Thomas J. Fuchs
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary. CoRR (2019)
Ida Häggström, Charles Ross Schmidtlein, Gabriele Campanella, Thomas J. Fuchs
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem. Medical Image Anal. 54 (2019)
Ida Haeggstroem, Charles Ross Schmidtlein, Gabriele Campanella, Thomas J. Fuchs
DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem. CoRR (2018)
Gabriele Campanella, Arjun R. Rajanna, Lorraine Corsale, Peter J. Schüffler, Yukako Yagi, Thomas J. Fuchs
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology. Comput. Medical Imaging Graph. 65 (2018)
Gabriele Campanella, Vitor Werneck Krauss Silva, Thomas J. Fuchs
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology. CoRR (2018)