Gabriele Campanella
Orcid: 0000-0001-6299-1311
According to our database1,
Gabriele Campanella
authored at least 16 papers
between 2018 and 2025.
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Bibliography
2025
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis.
CoRR, June, 2025
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology.
CoRR, March, 2025
2024
CoRR, 2024
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling.
CoRR, 2024
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective.
Proceedings of the MICCAI Workshop on Computational Pathology, 2024
2023
Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.
CoRR, 2023
2022
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma.
CoRR, 2022
2020
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.
Medical Image Anal., 2019
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary.
CoRR, 2019
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology.
CoRR, 2018
DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem.
CoRR, 2018
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology.
Comput. Medical Imaging Graph., 2018