UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 128

Sortiert nach

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature methods, 2021-02, Vol.18 (2), p.203

2021

Volltextzugriff (PDF)

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation

Medical image analysis, 2021-04, Vol.69, p.101950-101950, Article 101950

2021

Volltextzugriff (PDF)

Unsupervised Anomaly Localization Using Variational Auto-Encoders

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.289-297

Volltextzugriff (PDF)

Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis

European radiology, 2020-04, Vol.30 (4), p.2356-2364

2020

Volltextzugriff (PDF)

Kidney and Kidney Tumor Segmentation: MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

2024

Volltextzugriff (PDF)

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Medical image analysis, 2022-11, Vol.82, p.102605-102605, Article 102605

2022

Volltextzugriff (PDF)

Kidney and Kidney Tumor Segmentation: MICCAI 2021 Challenge, KiTS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

1, 2022

Volltextzugriff (PDF)

Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer

Scientific reports, 2023-11, Vol.13 (1), p.19805-19805, Article 19805

2023

Volltextzugriff (PDF)

Semantic segmentation of multispectral photoacoustic images using deep learning

Photoacoustics (Munich), 2022-06, Vol.26, p.100341-100341, Article 100341

2022

Volltextzugriff (PDF)

No New-Net

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.234-244

Volltextzugriff (PDF)

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.287-297

Volltextzugriff (PDF)

Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features

Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, p.120-129

Volltextzugriff (PDF)

Automated brain extraction of multisequence MRI using artificial neural networks

Human brain mapping, 2019-12, Vol.40 (17), p.4952-4964

2019

Volltextzugriff (PDF)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2514-2525

2018

Volltextzugriff (PDF)

nnU-Net for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.118-132

Volltextzugriff (PDF)

Standardized and semiautomated workflow for 3D characterization of liberated particles

Powder technology, 2024-01, Vol.433, p.119159, Article 119159

2024

Volltextzugriff (PDF)

Analyzing magnetic resonance imaging data from glioma patients using deep learning

Computerized medical imaging and graphics, 2021-03, Vol.88, p.101828-101828, Article 101828

2021

Volltextzugriff (PDF)

Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study

Investigative radiology, 2019-10, Vol.54 (10), p.653

2019

Volltextzugriff (PDF)

Classification of diffraction patterns using a convolutional neural network in single‐particle‐imaging experiments performed at X‐ray free‐electron lasers

Journal of applied crystallography, 2022-06, Vol.55 (3), p.444-454

2022

Volltextzugriff (PDF)

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

International journal for computer assisted radiology and surgery, 2018-06, Vol.13 (6), p.925-933

2018

Volltextzugriff (PDF)

Clickstream Analysis for Crowd-Based Object Segmentation with Confidence

IEEE transactions on pattern analysis and machine intelligence, 2018-12, Vol.40 (12), p.2814-2826

2018

Volltextzugriff (PDF)

ParticleSeg3D: A scalable out-of-the-box deep learning segmentation solution for individual particle characterization from micro CT images in mineral processing and recycling

Powder technology, 2024-02, Vol.434, p.119286, Article 119286

2024

Volltextzugriff (PDF)

1 – 25 von 128

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(89)
Mit Volltextzugriff
(124)

Publikationsform

Sprache

Englisch
(118)
Deutsch
(18)
Japanisch
(6)

Erscheinungsjahr

n.n

Thema

Science & Technology
(76)
Technology
(59)
Life Sciences & Biomedicine
(58)
Computer Science
(55)
Engineering
(48)
Radiology, Nuclear Medicine & Medical Imaging
(47)
Engineering, Biomedical
(45)
Computer Science, Artificial Intelligence
(35)
Computer Science, Theory & Methods
(27)
Deep Learning
(24)
Computer Science, Interdisciplinary Applications
(18)
Humans
(16)
Machine Learning
(15)
Image Processing
(12)
Image Segmentation
(11)
Medical Image Segmentation
(11)
Artificial Intelligence
(10)
Neural Networks
(10)
Segmentation
(10)
Algorithms
(9)

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation

Unsupervised Anomaly Localization Using Variational Auto-Encoders

Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis

Kidney and Kidney Tumor Segmentation: MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Kidney and Kidney Tumor Segmentation: MICCAI 2021 Challenge, KiTS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer

Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study

Semantic segmentation of multispectral photoacoustic images using deep learning

No New-Net

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features

Automated brain extraction of multisequence MRI using artificial neural networks

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

nnU-Net for Brain Tumor Segmentation

Standardized and semiautomated workflow for 3D characterization of liberated particles

Analyzing magnetic resonance imaging data from glioma patients using deep learning

Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study

Classification of diffraction patterns using a convolutional neural network in single‐particle‐imaging experiments performed at X‐ray free‐electron lasers

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Clickstream Analysis for Crowd-Based Object Segmentation with Confidence

ParticleSeg3D: A scalable out-of-the-box deep learning segmentation solution for individual particle characterization from micro CT images in mineral processing and recycling

Suchergebnisse filtern