UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 291

Sortiert nach

Weakly-supervised convolutional neural networks for multimodal image registration

Medical image analysis, 2018-10, Vol.49, p.1-13

2018

Volltextzugriff (PDF)

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2653-2663

2020

Volltextzugriff (PDF)

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

Frontiers in computational neuroscience, 2019-08, Vol.13, p.56-56

2019

Volltextzugriff (PDF)

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

IEEE transactions on pattern analysis and machine intelligence, 2019-07, Vol.41 (7), p.1559-1572

2019

Volltextzugriff (PDF)

Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning

IEEE transactions on medical imaging, 2021-10, Vol.40 (10), p.2795-2807

2021

Volltextzugriff (PDF)

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Information Processing in Medical Imaging, p.348-360

Volltextzugriff (PDF)

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116324-116324, Article 116324

2020

Volltextzugriff (PDF)

Resveratrol inhibits the expression of RYR2 and is a potential treatment for pancreatic cancer

Naunyn-Schmiedeberg's archives of pharmacology, 2022-03, Vol.395 (3), p.315-324

2022

Volltextzugriff (PDF)

Monoexponential, biexponential and diffusion kurtosis MR imaging models: quantitative biomarkers in the diagnosis of placenta accreta spectrum disorders

BMC pregnancy and childbirth, 2022-04, Vol.22 (1), p.349-349, Article 349

2022

Volltextzugriff (PDF)

Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm

Scientific data, 2021-10, Vol.8 (1), p.286-286, Article 286

2021

Volltextzugriff (PDF)

A Wearable and Real-Time Pulse Wave Monitoring System Based on a Flexible Compound Sensor

Biosensors (Basel), 2022-02, Vol.12 (2), p.133

2022

Volltextzugriff (PDF)

Effects of Nb Addition and Heat Treatment on the Crystallization Behavior, Thermal Stability and Soft Magnetic Properties of FeSiBPCuC Alloys

Journal of the Korean Physical Society, 2020, 77(2), , pp.116-121

2020

Volltextzugriff (PDF)

Multi-Morphological Pulse Signal Feature Point Recognition Based on One-Dimensional Deep Convolutional Neural Network

Information (Basel), 2023-01, Vol.14 (2), p.70

2023

Volltextzugriff (PDF)

Editorial: Advances in AI methods for computational pathology

Frontiers in medicine, 2022-09, Vol.9, p.974857-974857

2022

Volltextzugriff (PDF)

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

Neurocomputing (Amsterdam), 2019-04, Vol.338, p.34-45

2019

Volltextzugriff (PDF)

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

IEEE transactions on medical imaging, 2021-02, Vol.40 (2), p.699-711

2021

Volltextzugriff (PDF)

Fine-Grained Out-of-Distribution Detection of Medical Images using Combination of Feature Uncertainty and Mahalanobis Distance

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

Volltextzugriff (PDF)

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency

Medical image analysis, 2022-08, Vol.80, p.102517-102517, Article 102517

2022

Volltextzugriff (PDF)

Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency

Pattern recognition, 2024-08, Vol.152, p.110492, Article 110492

2024

Volltextzugriff (PDF)

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

IEEE transactions on medical imaging, 2018-07, Vol.37 (7), p.1562-1573

2018

Volltextzugriff (PDF)

HAMIL: High-resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images

IEEE transactions on medical imaging, 2023-10, Vol.PP (10), p.1-1

2023

Volltextzugriff (PDF)

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning

Medical image analysis, 2021-08, Vol.72, p.102102-102102, Article 102102

2021

Volltextzugriff (PDF)

Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures

IEEE transactions on medical imaging, 2023-01, Vol.42 (1), p.1-1

2023

Volltextzugriff (PDF)

Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks

Medical image analysis, 2020-10, Vol.65, p.101787-101787, Article 101787

2020

Volltextzugriff (PDF)

Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.178-190

Volltextzugriff (PDF)

1 – 25 von 291

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(234)
Mit Volltextzugriff
(278)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(218)
Technology
(146)
Life Sciences & Biomedicine
(113)
Engineering
(80)
Computer Science
(70)
Radiology, Nuclear Medicine & Medical Imaging
(63)
Engineering, Biomedical
(55)
Physical Sciences
(48)
Computer Science, Artificial Intelligence
(43)
Humans
(43)
Materials Science
(41)
Computer Science, Interdisciplinary Applications
(40)
Materials Science, Multidisciplinary
(38)
Image Segmentation
(29)
Physics
(28)
Segmentation
(26)
Deep Learning
(24)
Engineering, Electrical & Electronic
(23)
Female
(22)
Chemistry
(21)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(2)
... seit 90 Tagen
(11)

Menü

Weitere Dienste

Einstellungen

Weakly-supervised convolutional neural networks for multimodal image registration

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

Resveratrol inhibits the expression of RYR2 and is a potential treatment for pancreatic cancer

Monoexponential, biexponential and diffusion kurtosis MR imaging models: quantitative biomarkers in the diagnosis of placenta accreta spectrum disorders

Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm

A Wearable and Real-Time Pulse Wave Monitoring System Based on a Flexible Compound Sensor

Effects of Nb Addition and Heat Treatment on the Crystallization Behavior, Thermal Stability and Soft Magnetic Properties of FeSiBPCuC Alloys

Multi-Morphological Pulse Signal Feature Point Recognition Based on One-Dimensional Deep Convolutional Neural Network

Editorial: Advances in AI methods for computational pathology

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

Fine-Grained Out-of-Distribution Detection of Medical Images using Combination of Feature Uncertainty and Mahalanobis Distance

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency

Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

HAMIL: High-resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning

Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures

Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks

Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks

Suchergebnisse filtern