UB Paderborn / Katalog / Suche / in CDI

Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy

Laboratory investigation, 2019-07, Vol.99 (7), p.1019-1029

2019

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Regional gray matter growth, sexual dimorphism, and cerebral asymmetry in the neonatal brain

The Journal of neuroscience, 2007-02, Vol.27 (6), p.1255-1260

2007

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Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain

NeuroImage (Orlando, Fla.), 2013-03, Vol.68, p.236-247

2013

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Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

Breast cancer research : BCR, 2022-12, Vol.24 (1), p.93-93, Article 93

2022

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Dark Regions of No-Reflow on Late Gadolinium Enhancement Magnetic Resonance Imaging Result in Scar Formation After Atrial Fibrillation Ablation

Journal of the American College of Cardiology, 2011-07, Vol.58 (2), p.177-185

2011

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Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment

Acta neuropathologica communications, 2022-10, Vol.10 (1), p.157-157, Article 157

2022

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Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes

Journal of neurotrauma, 2011-11, Vol.28 (11), p.2287

2011

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Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction

NeuroImage clinical, 2012-01, Vol.1 (1), p.1-17

2012

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Antemortem detection of Parkinson's disease pathology in peripheral biopsies using artificial intelligence

Acta neuropathologica communications, 2022-02, Vol.10 (1), p.21-21, Article 21

2022

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Morphometry of anatomical shape complexes with dense deformations and sparse parameters

NeuroImage (Orlando, Fla.), 2014-11, Vol.101, p.35-49

2014

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Simulation of brain tumors in MR images for evaluation of segmentation efficacy

Medical image analysis, 2009-04, Vol.13 (2), p.297-311

2009

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Geodesic shape regression with multiple geometries and sparse parameters

Medical image analysis, 2017-07, Vol.39, p.1-17

2017

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A brain tumor segmentation framework based on outlier detection

Medical image analysis, 2004-09, Vol.8 (3), p.275-283

2004

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4D active cut: An interactive tool for pathological anatomy modeling

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014, Vol.2014, p.529-532

2014

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IEEE_Xplore

Abstract PS6-09: An AI-digital breast cancer risk discrimination platform (PreciseDx) using a representative H&E image and selected clinical variables accurately categorized patients with oncotype Dx low risk recurrence scores (RS)

Cancer research (Chicago, Ill.), 2021-02, Vol.81 (4_Supplement), p.PS6-09-PS6-09

2021

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167: COMPARISON OF MIDGUT AND PANCREATIC NEUROENDOCRINE TUMORS AT A TERTIARY MEDICAL CENTER

Gastroenterology (New York, N.Y. 1943), 2022-05, Vol.162 (7), p.S-30-S-31

2022

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MP09-12 AN AUTOMATED NOVEL DEEP LEARNING H&E IMAGE ANALYSIS PLATFORM OUTPERFORMS CLINICAL ONLY MODELS AND GLEASON GRADING TO PREDICT POSTOPERATIVE DISEASE RECURRENCE

The Journal of urology, 2020-04, Vol.203, p.e120

2020

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Abstract P3-08-11: The application of machine learning techniques to standardize breast cancer grading and develop multivariate risk outcome models

Cancer research (Chicago, Ill.), 2020-02, Vol.80 (4_Supplement), p.P3-P3-08-11

2020

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Analytical Validation of the PreciseDx Digital Prognostic Breast Cancer Test in Early-Stage Breast Cancer

Clinical breast cancer, 2024-02, Vol.24 (2), p.93-102.e6

2024

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Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

International journal of biomedical imaging, 2011-01, Vol.2011, p.572187-16

2011

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Automatic brain tumor segmentation by subject specific modification of atlas priors

Academic radiology, 2003-12, Vol.10 (12), p.1341-1348

2003

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Multi-modal image set registration and atlas formation

Medical image analysis, 2006-06, Vol.10 (3), p.440-451

2006

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Geodesic regression of image and shape data for improved modeling of 4D trajectories

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014, Vol.2014, p.385-388

2014

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IEEE_Xplore

Ensemble Network for Region Identification in Breast Histopathology Slides

Image Analysis and Recognition, p.861-868

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Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy

Regional gray matter growth, sexual dimorphism, and cerebral asymmetry in the neonatal brain

Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain

Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

Dark Regions of No-Reflow on Late Gadolinium Enhancement Magnetic Resonance Imaging Result in Scar Formation After Atrial Fibrillation Ablation

Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment

Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes

Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction

Antemortem detection of Parkinson's disease pathology in peripheral biopsies using artificial intelligence

Morphometry of anatomical shape complexes with dense deformations and sparse parameters

Simulation of brain tumors in MR images for evaluation of segmentation efficacy

Geodesic shape regression with multiple geometries and sparse parameters

BACH: Grand challenge on breast cancer histology images

A brain tumor segmentation framework based on outlier detection

4D active cut: An interactive tool for pathological anatomy modeling

Abstract PS6-09: An AI-digital breast cancer risk discrimination platform (PreciseDx) using a representative H&E image and selected clinical variables accurately categorized patients with oncotype Dx low risk recurrence scores (RS)

167: COMPARISON OF MIDGUT AND PANCREATIC NEUROENDOCRINE TUMORS AT A TERTIARY MEDICAL CENTER

MP09-12 AN AUTOMATED NOVEL DEEP LEARNING H&E IMAGE ANALYSIS PLATFORM OUTPERFORMS CLINICAL ONLY MODELS AND GLEASON GRADING TO PREDICT POSTOPERATIVE DISEASE RECURRENCE

Abstract P3-08-11: The application of machine learning techniques to standardize breast cancer grading and develop multivariate risk outcome models

Analytical Validation of the PreciseDx Digital Prognostic Breast Cancer Test in Early-Stage Breast Cancer

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

Automatic brain tumor segmentation by subject specific modification of atlas priors

Multi-modal image set registration and atlas formation

Geodesic regression of image and shape data for improved modeling of 4D trajectories

Ensemble Network for Region Identification in Breast Histopathology Slides

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