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Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

IEEE transactions on knowledge and data engineering, 2020-03, Vol.32 (3), p.588-601

2020

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Monitoring Flow-Forming Processes Using Design of Experiments and a Machine Learning Approach Based on Randomized-Supervised Time Series Forest and Recursive Feature Elimination

Sensors (Basel, Switzerland), 2024-02, Vol.24 (5), p.1527

2024

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Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks

PloS one, 2018-11, Vol.13 (11), p.e0206229-e0206229

2018

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Data analysis with Shapley values for automatic subject selection in Alzheimer's disease data sets using interpretable machine learning

Alzheimer's research & therapy, 2021-09, Vol.13 (1), p.155-30, Article 155

2021

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Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems

PloS one, 2020-09, Vol.15 (9), p.e0236868-e0236868

2020

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Ossification area localization in pediatric hand radiographs using deep neural networks for object detection

PloS one, 2018-11, Vol.13 (11), p.e0207496-e0207496

2018

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Augmented Reality in Medicine: Systematic and Bibliographic Review

JMIR mHealth and uHealth, 2019-04, Vol.7 (4), p.e10967-e10967

2019

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Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.725

2023

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Overview of BioCreative II gene mention recognition

Genome biology, 2008-01, Vol.9 Suppl 2 (Suppl 2), p.S2-S2, Article S2

2008

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NanoDefiner e-Tool: An Implemented Decision Support Framework for Nanomaterial Identification

Materials, 2019-10, Vol.12 (19), p.3247

2019

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Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection

Computers in biology and medicine, 2024-03, Vol.170, p.108029-108029, Article 108029

2024

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NanoDefiner Framework and e-Tool Revisited According to the European Commission's Nanomaterial Definition 2022/C 229/01

Nanomaterials (Basel, Switzerland), 2023-03, Vol.13 (6), p.990

2023

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Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches

European journal of radiology, 2023-05, Vol.162, p.110786-110786, Article 110786

2023

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Explainable AI in medical imaging: An overview for clinical practitioners – Saliency-based XAI approaches

European journal of radiology, 2023-05, Vol.162, p.110787-110787, Article 110787

2023

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Deep learning in diabetic foot ulcers detection: A comprehensive evaluation

Computers in biology and medicine, 2021-08, Vol.135, p.104596-104596, Article 104596

2021

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Mining biomarker information in biomedical literature

BMC medical informatics and decision making, 2012-12, Vol.12 (1), p.148-148, Article 148

2012

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Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks

Medical image analysis, 2020-08, Vol.64, p.101743-101743, Article 101743

2020

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Server-Focused Security Assessment of Mobile Health Apps for Popular Mobile Platforms

Journal of medical Internet research, 2019-01, Vol.21 (1), p.e9818-e9818

2019

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Machine Learning Workflow to Explain Black-Box Models for Early Alzheimer’s Disease Classification Evaluated for Multiple Datasets

SN computer science, 2022-11, Vol.3 (6), p.509, Article 509

2022

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Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge

Journal of biomedical informatics, 2023-07, Vol.143, p.104400-104400, Article 104400

2023

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Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited: Best of the eRisk Lab Submission

Experimental IR Meets Multilinguality, Multimodality, and Interaction, p.191-202

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Nano or Not Nano? A Structured Approach for Identifying Nanomaterials According to the European Commission’s Definition

Small (Weinheim an der Bergstrasse, Germany), 2020-09, Vol.16 (36), p.e2002228-n/a

2020

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Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors

Computers in biology and medicine, 2022-08, Vol.147, p.105740-105740, Article 105740

2022

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Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine Learning

2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, p.113-118

2021

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Domain Adaptation of Transformer-Based Models Using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback

SN computer science, 2023-03, Vol.4 (2), p.142, Article 142

2023

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Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

Monitoring Flow-Forming Processes Using Design of Experiments and a Machine Learning Approach Based on Randomized-Supervised Time Series Forest and Recursive Feature Elimination

Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks

Data analysis with Shapley values for automatic subject selection in Alzheimer's disease data sets using interpretable machine learning

Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems

Ossification area localization in pediatric hand radiographs using deep neural networks for object detection

Augmented Reality in Medicine: Systematic and Bibliographic Review

Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups

Overview of BioCreative II gene mention recognition

NanoDefiner e-Tool: An Implemented Decision Support Framework for Nanomaterial Identification

Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection

NanoDefiner Framework and e-Tool Revisited According to the European Commission's Nanomaterial Definition 2022/C 229/01

Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches

Explainable AI in medical imaging: An overview for clinical practitioners – Saliency-based XAI approaches

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation

Mining biomarker information in biomedical literature

Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks

Server-Focused Security Assessment of Mobile Health Apps for Popular Mobile Platforms

Machine Learning Workflow to Explain Black-Box Models for Early Alzheimer’s Disease Classification Evaluated for Multiple Datasets

Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge

Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited: Best of the eRisk Lab Submission

Nano or Not Nano? A Structured Approach for Identifying Nanomaterials According to the European Commission’s Definition

Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors

Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine Learning

Domain Adaptation of Transformer-Based Models Using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback

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