UB Paderborn / Katalog / Suche / in CDI

KRAS mutant and RAS/BRAF wild type colorectal cancer cells exhibit differences in the rewiring of signal transduction that can impact on future therapeutic strategies

Annals of oncology, 2018-10, Vol.29, p.viii1-viii1

2018

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Chronic liver disease: Quantitative MRI vs CEUS-based microperfusion

Clinical hemorheology and microcirculation, 2016-01, Vol.64 (3), p.435

2016

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1OKRAS mutant and RAS/BRAF wild type colorectal cancer cells exhibit differences in the rewiring of signal transduction that can impact on future therapeutic strategies

Annals of oncology, 2018-10, Vol.29 (suppl_8)

2018

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‘Squeeze & excite’ guided few-shot segmentation of volumetric images

Medical image analysis, 2020-01, Vol.59, p.101587-101587, Article 101587

2020

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Detect and correct bias in multi-site neuroimaging datasets

Medical image analysis, 2021-01, Vol.67, p.101879-101879, Article 101879

2021

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Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders

Alzheimer's & dementia, 2023-05, Vol.19 (5), p.1994-2005

2023

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DAFT: A universal module to interweave tabular data and 3D images in CNNs

NeuroImage (Orlando, Fla.), 2022-10, Vol.260, p.119505-119505, Article 119505

2022

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Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.688-698

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Survival analysis for high-dimensional, heterogeneous medical data: exploring feature extraction as an alternative to feature selection

Artificial intelligence in medicine, 2016-09, Vol.72, p.1-11

2016

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2D Image Registration in CT Images Using Radial Image Descriptors

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011, Vol.14 (Pt 2), p.607-614

2011

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Is a PET All You Need? A Multi-modal Study for Alzheimer’s Disease Using 3D CNNs

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.66-76

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Hepatobiliary MRI: Signal intensity based assessment of liver function correlated to 13C-Methacetin breath test

Scientific reports, 2018-06, Vol.8 (1), p.1-8, Article 9078

2018

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Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 2019, p.484-492

2019

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Evaluation of two-point Dixon water-fat separation for liver specific contrast-enhanced assessment of liver maximum capacity

Scientific reports, 2018-09, Vol.8 (1), p.13863-9, Article 13863

2018

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Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer’s Continuum

Information Processing in Medical Imaging, p.45-57

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Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease

Information Processing in Medical Imaging, p.82-94

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Navigating through space and time: A methodological approach to quantify spatiotemporal connectivity using stream flow data as a case study

Methods in ecology and evolution, 2023-07, Vol.14 (7), p.1780-1795

2023

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Joint Reconstruction and Parcellation of Cortical Surfaces

Machine Learning in Clinical Neuroimaging, p.3-12

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Gd-EOB-DTPA-enhanced T1 relaxometry for assessment of liver function determined by real-time 13C-methacetin breath test

European radiology, 2018-09, Vol.28 (9), p.3591-3600

2018

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Adversarial Learned Molecular Graph Inference and Generation

Machine Learning and Knowledge Discovery in Databases, p.173-189

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A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data

Machine Learning and Knowledge Discovery in Databases, p.453-464

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Odefy--from discrete to continuous models

BMC bioinformatics, 2010-05, Vol.11 (1), p.233-233, Article 233

2010

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Fast Training of Support Vector Machines for Survival Analysis

Machine Learning and Knowledge Discovery in Databases, p.243-259

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Can we diagnose mental disorders in children? A large‐scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study

JCPP advances, 2023-12, Vol.3 (4), p.e12184-n/a

2023

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Scalable, Axiomatic Explanations of Deep Alzheimer’s Diagnosis from Heterogeneous Data

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.434-444

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KRAS mutant and RAS/BRAF wild type colorectal cancer cells exhibit differences in the rewiring of signal transduction that can impact on future therapeutic strategies

Chronic liver disease: Quantitative MRI vs CEUS-based microperfusion

1OKRAS mutant and RAS/BRAF wild type colorectal cancer cells exhibit differences in the rewiring of signal transduction that can impact on future therapeutic strategies

‘Squeeze & excite’ guided few-shot segmentation of volumetric images

Detect and correct bias in multi-site neuroimaging datasets

Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders

DAFT: A universal module to interweave tabular data and 3D images in CNNs

Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform

Survival analysis for high-dimensional, heterogeneous medical data: exploring feature extraction as an alternative to feature selection

2D Image Registration in CT Images Using Radial Image Descriptors

Is a PET All You Need? A Multi-modal Study for Alzheimer’s Disease Using 3D CNNs

Hepatobiliary MRI: Signal intensity based assessment of liver function correlated to 13C-Methacetin breath test

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference

Evaluation of two-point Dixon water-fat separation for liver specific contrast-enhanced assessment of liver maximum capacity

Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer’s Continuum

Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease

Navigating through space and time: A methodological approach to quantify spatiotemporal connectivity using stream flow data as a case study

Joint Reconstruction and Parcellation of Cortical Surfaces

Gd-EOB-DTPA-enhanced T1 relaxometry for assessment of liver function determined by real-time 13C-methacetin breath test

Adversarial Learned Molecular Graph Inference and Generation

A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data

Odefy--from discrete to continuous models

Fast Training of Support Vector Machines for Survival Analysis

Can we diagnose mental disorders in children? A large‐scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study

Scalable, Axiomatic Explanations of Deep Alzheimer’s Diagnosis from Heterogeneous Data

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