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Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation

Machine Learning and Knowledge Extraction, 2019, Vol.11713, p.114-127

2019

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FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection

2023 IEEE International Joint Conference on Biometrics (IJCB), 2023, p.1-11

2023

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Deep Learning for Mining Information from Figures in Biomedical Literature

Almakky, Ibrahim

2020

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Fuzzy Image Processing and Deep Learning for Microaneurysms Detection

Artificial Intelligence and Machine Learning for Digital Pathology, 2020, Vol.12090, p.321-339

2020

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SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification

Domain Adaptation and Representation Transfer, 2023, Vol.14293, p.126-135

2023

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FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling

Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023, Vol.14221, p.350-360

2023

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A stacked deep autoencoder model for biomedical figure classification

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.1134-1138

2018

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Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays

Medical Image Understanding and Analysis, 2022, Vol.13413, p.234-250

2022

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PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis

Machine Learning in Medical Imaging, 2023, Vol.14348, p.434-443

2023

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Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature

2019 International Joint Conference on Neural Networks (IJCNN), 2019, p.1-5

2019

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Deep Learning for Illumination Invariant Facial Expression Recognition

2018 International Joint Conference on Neural Networks (IJCNN), 2018, p.1-6

2018

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Deep Q-Learning for Illumination and Rotation Invariant Face Detection

2019 International Joint Conference on Neural Networks (IJCNN), 2019, p.1-8

2019

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Multi-task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), 2024, Vol.1166, p.52-61

2024

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FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024, Vol.15012, p.131-141

2024

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DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images

Medical Image Understanding and Analysis, 2024, Vol.14859, p.245-257

2024

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TiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation

Deep Generative Models, 2024, p.169-179

2024

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Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation

FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection

Deep Learning for Mining Information from Figures in Biomedical Literature

Fuzzy Image Processing and Deep Learning for Microaneurysms Detection

SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification

FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling

A stacked deep autoencoder model for biomedical figure classification

Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays

PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis

Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature

Deep Learning for Illumination Invariant Facial Expression Recognition

Deep Q-Learning for Illumination and Rotation Invariant Face Detection

Multi-task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans

FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images

TiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation

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