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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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Integrating micro-learning content in traditional e-learning platforms

Multimedia tools and applications, 2021, Vol.80 (2), p.3121-3151

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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A brief review on multi-task learning

Multimedia tools and applications, 2018-11, Vol.77 (22), p.29705-29725

2018

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An effective educational tool: construction kits for fun and meaningful learning

International journal of technology and design education, 2015-02, Vol.25 (1), p.25-41

Somyuerek, Sibel

2015

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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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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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Federated learning for computational pathology on gigapixel whole slide images

Medical image analysis, 2022-02, Vol.76, p.102298-102298, Article 102298

2022

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A Survey of Machine Learning Techniques for Indoor Localization and Navigation Systems

Journal of intelligent & robotic systems, 2021-03, Vol.101 (3), Article 63

2021

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SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning

Medical image analysis, 2022-07, Vol.79, p.102459-102459, Article 102459

2022

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Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

Medical image analysis, 2021-05, Vol.70, p.101992-101992, Article 101992

2021

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Transferring makerspace activities to the classroom: a tension between two learning cultures

International journal of technology and design education, 2023-11, Vol.33 (5), p.1755-1772

2023

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Survey of Model-Based Reinforcement Learning: Applications on Robotics

Journal of intelligent & robotic systems, 2017-05, Vol.86 (2), p.153-173

2017

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Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

Medical image analysis, 2022-07, Vol.79, p.102474-102474, Article 102474

2022

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Deep reinforcement learning in medical imaging: A literature review

Medical image analysis, 2021-10, Vol.73, p.102193-102193, Article 102193

2021

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EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos

Medical image analysis, 2021-07, Vol.71, p.102058-102058, Article 102058

2021

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Ensemble of multi-task deep convolutional neural networks using transfer learning for fruit freshness classification

Multimedia tools and applications, 2022-07, Vol.81 (16), p.22355-22377

2022

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One improved learning analytics of interest transfer in interactive learning activities

Multimedia tools and applications, 2024-01, Vol.83 (27), p.70477-70500

Xia, Xiaona

2024

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A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning

Medical image analysis, 2021-04, Vol.69, p.101978-101978, Article 101978

2021

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Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks

Journal of intelligent & robotic systems, 2022-05, Vol.105 (1), Article 9

2022

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A deep learning approach for the analysis of masses in mammograms with minimal user intervention

Medical image analysis, 2017-04, Vol.37, p.114-128

2017

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DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

Medical image analysis, 2022-07, Vol.79, p.102464-102464, Article 102464

2022

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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

Integrating micro-learning content in traditional e-learning platforms

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

A brief review on multi-task learning

An effective educational tool: construction kits for fun and meaningful learning

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

Deep neural network models for computational histopathology: A survey

Federated learning for computational pathology on gigapixel whole slide images

A Survey of Machine Learning Techniques for Indoor Localization and Navigation Systems

SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

Transferring makerspace activities to the classroom: a tension between two learning cultures

Survey of Model-Based Reinforcement Learning: Applications on Robotics

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

Deep reinforcement learning in medical imaging: A literature review

EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos

Ensemble of multi-task deep convolutional neural networks using transfer learning for fruit freshness classification

One improved learning analytics of interest transfer in interactive learning activities

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning

Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks

A deep learning approach for the analysis of masses in mammograms with minimal user intervention

DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

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