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SinGAN-Seg: Synthetic training data generation for medical image segmentation

PloS one, 2022-05, Vol.17 (5), p.e0267976-e0267976

2022

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GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.2087

2023

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Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Scientific reports, 2021-05, Vol.11 (1), p.1-11, Article 10949

2021

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Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images

Diagnostics (Basel), 2021-11, Vol.11 (12), p.2183

2021

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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

Scientific reports, 2024-01, Vol.14 (1), p.2032-16, Article 2032

2024

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An Open-Access Dataset of Hospitalized Cardiac-Arrest Patients: Machine-Learning-Based Predictions Using Clinical Documentation

BioMedInformatics, 2024-03, Vol.4 (1), p.34-49

2024

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VISEM-Tracking, a human spermatozoa tracking dataset

Scientific data, 2023-05, Vol.10 (1), p.260-260, Article 260

2023

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AI-Based Video Clipping of Soccer Events

Machine learning and knowledge extraction, 2021-12, Vol.3 (4), p.990-1008

2021

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Meta-learning with implicit gradients in a few-shot setting for medical image segmentation

Computers in biology and medicine, 2022-04, Vol.143, p.105227-105227, Article 105227

2022

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An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification

ACM transactions on computing for healthcare, 2020-07, Vol.1 (3), p.1-29

2020

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Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks

2020 IEEE International Symposium on Multimedia (ISM), 2020, p.135-144

2020

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RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023, p.47-52

2023

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A self-learning teacher-student framework for gastrointestinal image classification

2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, p.539-544

2021

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Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation

2022 IEEE International Symposium on Multimedia (ISM), 2022, p.42-49

2022

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Automated Clipping of Soccer Events using Machine Learning

2021 IEEE International Symposium on Multimedia (ISM), 2021, p.210-214

2021

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Vid2Pix - A Framework for Generating High-Quality Synthetic Videos

2020 IEEE International Symposium on Multimedia (ISM), 2020, p.25-26

2020

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Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks

IEEE International Symposium on Multimedia, 2020

2020

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SinGAN-Seg: Synthetic training data generation for medical image segmentation

GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

An Open-Access Dataset of Hospitalized Cardiac-Arrest Patients: Machine-Learning-Based Predictions Using Clinical Documentation

VISEM-Tracking, a human spermatozoa tracking dataset

AI-Based Video Clipping of Soccer Events

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation

An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification

Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks

RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models

A self-learning teacher-student framework for gastrointestinal image classification

Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation

Automated Clipping of Soccer Events using Machine Learning

Vid2Pix - A Framework for Generating High-Quality Synthetic Videos

Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks

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