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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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HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific data, 2020-08, Vol.7 (1), p.283-283, Article 283

2020

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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Scientific reports, 2021-11, Vol.11 (1), p.21896-21896, Article 21896

2021

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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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CELLULAR, A Cell Autophagy Imaging Dataset

Scientific data, 2023-11, Vol.10 (1), p.806-806, Article 806

2023

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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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Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics (Basel), 2023-07, Vol.13 (14), p.2345

2023

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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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HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features

Lecture notes in computer science, 2021, Vol.12573, p.196-205

2021

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

Sensors (Basel, Switzerland), 2023

2023

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Fr615 IMPACT OF IMAGE RESOLUTION ON CONVOLUTIONAL NEURAL NETWORKS PERFORMANCE IN GASTROINTESTINAL ENDOSCOPY

Gastroenterology (New York, N.Y. 1943), 2021-05, Vol.160 (6), p.S-377-S-377

2021

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ID: 3523524 DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS FOR CREATING REALISTIC ARTIFICIAL COLON POLYP IMAGES: VALIDATION STUDY BY ENDOSCOPISTS

Gastrointestinal endoscopy, 2021-06, Vol.93 (6), p.AB190-AB190

2021

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Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Scientific reports, 2019-11, Vol.9 (1), p.16770-10, Article 16770

2019

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On evaluation metrics for medical applications of artificial intelligence

Scientific reports, 2022

2022

Volltextzugriff (PDF)

Kvasir-Capsule, a video capsule endoscopy dataset

Scientific data, 2021-05, Vol.8 (1), p.142-142, Article 142

2021

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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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ESHREjc report: on the road to preconception and personalized counselling with machine learning models

Human reproduction (Oxford), 2022-07, Vol.37 (8), p.1955-1957

2022

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Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure

2023

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ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

2023

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Poster Session 1Baseline filtering alleviates generalization issues for neural networks for electrocardiogram analysis

Journal of electrocardiology, 2022-07, Vol.73, p.15

2022

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CELLULAR, A Cell Autophagy Imaging Dataset

Scientific data, 2023

2023

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CELLULAR, A Cell Autophagy Imaging Dataset

Scientific data, 2023

2023

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

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

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

CELLULAR, A Cell Autophagy Imaging Dataset

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

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

VISEM-Tracking, a human spermatozoa tracking dataset

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features

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

Fr615 IMPACT OF IMAGE RESOLUTION ON CONVOLUTIONAL NEURAL NETWORKS PERFORMANCE IN GASTROINTESTINAL ENDOSCOPY

ID: 3523524 DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS FOR CREATING REALISTIC ARTIFICIAL COLON POLYP IMAGES: VALIDATION STUDY BY ENDOSCOPISTS

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

On evaluation metrics for medical applications of artificial intelligence

Kvasir-Capsule, a video capsule endoscopy dataset

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

ESHREjc report: on the road to preconception and personalized counselling with machine learning models

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

Poster Session 1Baseline filtering alleviates generalization issues for neural networks for electrocardiogram analysis

CELLULAR, A Cell Autophagy Imaging Dataset

CELLULAR, A Cell Autophagy Imaging Dataset

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

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