Gabriele Campanella
Orcid: 0000-0001-6299-1311
According to our database1,
Gabriele Campanella
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective.
CoRR, 2024
CoRR, 2024
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling.
CoRR, 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