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07/17/2023
CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models
Batch effects (BEs) refer to systematic technical differences in data co...
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04/06/2023
Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides
Automating tissue segmentation and tumor detection in histopathology ima...
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01/03/2023
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset
Making histopathology image classifiers robust to a wide range of real-w...
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09/02/2021
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge
Automated detection of mitotic figures in histopathology images is a cha...
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08/26/2020
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
Unsupervised learning enables modeling complex images without the need f...
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02/20/2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Rotation-invariance is a desired property of machine-learning models for...
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04/10/2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
We propose a framework for rotation and translation covariant deep learn...
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01/10/2018
Inferring a Third Spatial Dimension from 2D Histological Images
Histological images are obtained by transmitting light through a tissue ...
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07/19/2017
Domain-adversarial neural networks to address the appearance variability of histopathology images
Preparing and scanning histopathology slides consists of several steps, ...
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07/11/2017
