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08/27/2023
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis
Previous deep learning efforts have focused on improving the performance...
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08/20/2023
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection
Lack of generalization to unseen domains/attacks is the Achilles heel of...
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08/15/2023
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification
Deep Learning methods have recently seen increased adoption in medical i...
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06/26/2023
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling
Data scarcity is a significant obstacle hindering the learning of powerf...
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06/07/2023
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation
Despite major advancements in Automatic Speech Recognition (ASR), the st...
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01/16/2022
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?
The value of quick, accurate, and confident diagnoses cannot be undermin...
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11/22/2020
Self-Supervised Transformers for Activity Classification using Ambient Sensors
Providing care for ageing populations is an onerous task, and as life ex...
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11/22/2020