UB Paderborn / Katalog / Suche / in CDI

Conference on Knowledge Discovery in Data: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining; 22-25 Aug. 2004, 2004, p.306-315

2004

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Health-care improvements in a financially constrained environment

The Lancet (British edition), 2016-02, Vol.387 (10019), p.646-647

2016

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Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, p.133-140

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Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery: First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings

2023

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Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms

Quantification of tumor heterogeneity: from data acquisition to metric generation

A causal inference approach for estimating effects of non-pharmaceutical interventions during Covid-19 pandemic

A novel f-divergence based generative adversarial imputation method for scRNA-seq data analysis

Family and personal history of cancer in the All of Us research program for precision medicine

Learning author-topic models from text corpora

From Pixels to Diagnosis: Algorithmic Analysis of Clinical Oral Photos for Early Detection of Oral Squamous Cell Carcinoma

On the role of artificial intelligence in medical imaging of COVID-19

Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery: First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings

Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease

Editorial: Explainable multimodal AI in cancer patient care: how can we reduce the gap between technology and practice?

Multimodal Prediction of Five-Year Breast Cancer Recurrence in Women Who Receive Neoadjuvant Chemotherapy

Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study

AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19

Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data

Selecting anti-HIV therapies based on a variety of genomic and clinical factors

Comparison of classifier fusion methods for predicting response to anti HIV-1 therapy

Antiretroviral therapy optimisation without genotype resistance testing: a perspective on treatment history based models

On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks

Virtual Biopsy by Using Artificial Intelligence-based Multimodal Modeling of Binational Mammography Data

Probabilistic author-topic models for information discovery

Health-care improvements in a financially constrained environment

Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next

Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery: First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings

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