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Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Medical image analysis, 2019-05, Vol.54, p.280-296

2019

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Recent advances and clinical applications of deep learning in medical image analysis

Medical image analysis, 2022-07, Vol.79, p.102444-102444, Article 102444

2022

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Models Genesis

Medical image analysis, 2021-01, Vol.67, p.101840-101840, Article 101840

2021

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Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation

Medical image analysis, 2023-07, Vol.87, p.102792-102792, Article 102792

2023

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Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

IEEE transactions on medical imaging, 2019-08, Vol.38 (8), p.1777-1787

2019

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Constrained Deep Weak Supervision for Histopathology Image Segmentation

IEEE transactions on medical imaging, 2017-11, Vol.36 (11), p.2376-2388

2017

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Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning

IEEE transactions on medical imaging, 2021-10, Vol.40 (10), p.2857-2868

2021

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Self-supervised On-device Federated Learning from Unlabeled Streams

IEEE transactions on computer-aided design of integrated circuits and systems, 2023-12, Vol.42 (12), p.1-1

2023

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Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things

IEEE transactions on industrial informatics, 2023-01, Vol.19 (1), p.286-295

2023

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Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

Computers in biology and medicine, 2023-10, Vol.165, p.107441-107441, Article 107441

2023

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Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations

IEEE transactions on medical imaging, 2021-10, Vol.40 (10), p.2845-2856

2021

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Self-supervised learning for medical image analysis using image context restoration

Medical image analysis, 2019-12, Vol.58, p.101539, Article 101539

2019

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Explainable, trustworthy, and ethical machine learning for healthcare: A survey

Computers in biology and medicine, 2022-10, Vol.149, p.106043-106043, Article 106043

2022

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Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT

IEEE transactions on industrial informatics, 2021-12, Vol.17 (12), p.8475-8484

2021

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One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis

IEEE transactions on medical imaging, 2023-12, Vol.42 (12), p.3764-3778

2023

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COVID-19 detection in chest X-ray images using deep boosted hybrid learning

Computers in biology and medicine, 2021-10, Vol.137, p.104816-104816, Article 104816

2021

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Learning From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification

IEEE transactions on medical imaging, 2024-02, Vol.43 (2), p.625-637

2024

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Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning

IEEE transactions on medical imaging, 2019-01, Vol.38 (1), p.213-224

2019

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Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System

IEEE transactions on industrial informatics, 2019-08, Vol.15 (8), p.4591-4601

2019

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MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification

IEEE transactions on medical imaging, 2023-05, Vol.42 (5), p.1337-1348

2023

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Semi-supervised task-driven data augmentation for medical image segmentation

Medical image analysis, 2021-02, Vol.68, p.101934-101934, Article 101934

2021

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An immersive learning model using evolutionary learning

Computers & electrical engineering, 2018-01, Vol.65, p.236-249

2018

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Self-supervised Learning: A Succinct Review

Archives of computational methods in engineering, 2023, Vol.30 (4), p.2761-2775

2023

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Deep neural network models for computational histopathology: A survey

Medical image analysis, 2021-01, Vol.67, p.101813-101813, Article 101813

2021

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Fostering STEAM through challenge‐based learning, robotics, and physical devices: A systematic mapping literature review

Computer applications in engineering education, 2021-01, Vol.29 (1), p.46-65

2021

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Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Recent advances and clinical applications of deep learning in medical image analysis

Models Genesis

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Constrained Deep Weak Supervision for Histopathology Image Segmentation

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning

Self-supervised On-device Federated Learning from Unlabeled Streams

Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things

Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations

Self-supervised learning for medical image analysis using image context restoration

Explainable, trustworthy, and ethical machine learning for healthcare: A survey

Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT

One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis

COVID-19 detection in chest X-ray images using deep boosted hybrid learning

Learning From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification

Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning

Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System

MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification

Semi-supervised task-driven data augmentation for medical image segmentation

An immersive learning model using evolutionary learning

Self-supervised Learning: A Succinct Review

Deep neural network models for computational histopathology: A survey

Fostering STEAM through challenge‐based learning, robotics, and physical devices: A systematic mapping literature review

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