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06/25/2023
Masked conditional variational autoencoders for chromosome straightening
Karyotyping is of importance for detecting chromosomal aberrations in hu...
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06/14/2023
Semi-supervised Cell Recognition under Point Supervision
Cell recognition is a fundamental task in digital histopathology image a...
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05/24/2023
PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology
As advances in large language models (LLMs) and multimodal techniques co...
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03/15/2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification
While Multiple Instance Learning (MIL) has shown promising results in di...
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03/05/2023
Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision
Point-based cell recognition, which aims to localize and classify cells ...
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06/30/2022
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
When designing a diagnostic model for a clinical application, it is cruc...
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02/27/2022
Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images
Cell classification and counting in immunohistochemical cytoplasm staini...
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10/19/2021
Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
Agitation is one of the neuropsychiatric symptoms with high prevalence i...
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07/06/2021
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
Ki67 is a significant biomarker in the diagnosis and prognosis of cancer...
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03/19/2021
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction
Character rigging is universally needed in computer graphics but notorio...
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01/18/2021
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia
Behavioural symptoms and urinary tract infections (UTI) are among the mo...
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11/27/2020
Machine learning for risk analysis of Urinary Tract Infection in people with dementia
The Urinary Tract Infections (UTIs) are one of the top reasons for unpla...
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11/02/2020
Semi-supervised Federated Learning for Activity Recognition
The proliferation of IoT sensors and edge devices makes it possible to u...
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10/19/2020
Verifying the Causes of Adversarial Examples
The robustness of neural networks is challenged by adversarial examples ...
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05/08/2020
Continual Learning Using Task Conditional Neural Networks
Conventional deep learning models have limited capacity in learning mult...
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10/09/2019
Continual Learning Using Bayesian Neural Networks
Continual learning models allow to learn and adapt to new changes and ta...
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05/20/2019
Continual Learning in Deep Neural Network by Using a Kalman Optimiser
Learning and adapting to new distributions or learning new tasks sequent...
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05/20/2019
Continual Learning in Deep Neural Networks by Using Kalman Optimiser
Learning and adapting to new distributions or learning new tasks sequent...
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05/20/2019
Continual Learning in Deep Neural Networks by Using a Kalman Optimiser
Learning and adapting to new distributions or learning new tasks sequent...
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11/06/2018
