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Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings

1, 2017

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RATS: Rapid Automatic Tissue Segmentation in rodent brain MRI

Journal of neuroscience methods, 2014-01, Vol.221, p.175-182

2014

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Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

Scientific reports, 2020-05, Vol.10 (1), p.8242-8242, Article 8242

2020

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448 Deformable Medial Modeling to Generate Novel Shape Features of the Placenta Using Automated versus Manual Segmentations

Journal of clinical and translational science, 2024-04, Vol.8 (s1), p.132-133

2024

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3-dimensional diffusion tensor imaging (DTI) atlas of the rat brain

PloS one, 2013-07, Vol.8 (7), p.e67334-e67334

2013

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PD27-05 AUTOMATED ANALYSIS OF STONE DUST DURING URETEROSCOPY TO PREDICT STONE FREE STATUS USING COMPUTER VISION MODELS

The Journal of urology, 2024-05, Vol.211 (5S)

2024

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Mechanically Induced Focal Adhesion Assembly Amplifies Anti‐Adipogenic Pathways in Mesenchymal Stem Cells

Stem cells (Dayton, Ohio), 2011-11, Vol.29 (11), p.1829-1836

2011

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Comparison of magnetic resonance imaging in live vs. post mortem rat brains

PloS one, 2013-08, Vol.8 (8), p.e71027-e71027

2013

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Transcallosal and Corticospinal White Matter Disease and Its Association With Motor Impairment in Multiple Sclerosis

Frontiers in neurology, 2022-06, Vol.13, p.811315

2022

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Simulation and Synthesis in Medical Imaging: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

1st Edition 2018, 2018

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Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks

Simulation and Synthesis in Medical Imaging, 2018, Vol.11037, p.1-11

2018

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

Information Processing in Medical Imaging, p.348-360

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A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

Information Processing in Medical Imaging, 2017, p.647-658

2017

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The Translational Role of Diffusion Tensor Image Analysis in Animal Models of Developmental Pathologies

Developmental neuroscience, 2012-01, Vol.34 (1), p.5-19

2012

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MP07-15 REAL-TIME KIDNEY STONE SEGMENTATION DURING DISTINCT URETEROSCOPIC TASKS USING A COMPUTER VISION MODEL

The Journal of urology, 2024-05, Vol.211 (5S)

2024

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MP07-16 COMPUTER VISION ANALYSIS OF UPPER TRACT UROTHELIAL CARCINOMA TO PREDICT HIGH VS LOW GRADE PATHOLOGY

The Journal of urology, 2024-05, Vol.211 (5S)

2024

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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Information Processing in Medical Imaging, p.146-157

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Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size

Simulation and Synthesis in Medical Imaging, 2018, p.31-41

2018

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Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.11-29

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Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings

1st Edition 2018, 2018

Volltextzugriff (PDF)

MP68-03 USING A COMPUTER VISION-MEDIATED ANALYSIS TO DISTINGUISH SURGEON EXPERIENCE DURING ENDOSCOPIC STONE SURGERY

The Journal of urology, 2023-04, Vol.209 (Supplement 4)

2023

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MP26-06 AUTOMATED SEGMENTATION OF UPPER URINARY TRACT TUMORS DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

The Journal of urology, 2023-04, Vol.209 (Supplement 4)

2023

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Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks

Information Processing in Medical Imaging, p.597-609

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MP32-03 AUTOMATED SEGMENTATION OF KIDNEY STONES DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

The Journal of urology, 2022-05, Vol.207 (Supplement 5)

2022

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V03-01 AUTOMATED KIDNEY STONE SEGMENTATION DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

The Journal of urology, 2022-05, Vol.207 (Supplement 5)

2022

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Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings

RATS: Rapid Automatic Tissue Segmentation in rodent brain MRI

Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

448 Deformable Medial Modeling to Generate Novel Shape Features of the Placenta Using Automated versus Manual Segmentations

3-dimensional diffusion tensor imaging (DTI) atlas of the rat brain

PD27-05 AUTOMATED ANALYSIS OF STONE DUST DURING URETEROSCOPY TO PREDICT STONE FREE STATUS USING COMPUTER VISION MODELS

Mechanically Induced Focal Adhesion Assembly Amplifies Anti‐Adipogenic Pathways in Mesenchymal Stem Cells

Comparison of magnetic resonance imaging in live vs. post mortem rat brains

Transcallosal and Corticospinal White Matter Disease and Its Association With Motor Impairment in Multiple Sclerosis

Simulation and Synthesis in Medical Imaging: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks

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

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

The Translational Role of Diffusion Tensor Image Analysis in Animal Models of Developmental Pathologies

MP07-15 REAL-TIME KIDNEY STONE SEGMENTATION DURING DISTINCT URETEROSCOPIC TASKS USING A COMPUTER VISION MODEL

MP07-16 COMPUTER VISION ANALYSIS OF UPPER TRACT UROTHELIAL CARCINOMA TO PREDICT HIGH VS LOW GRADE PATHOLOGY

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size

Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods

Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings

MP68-03 USING A COMPUTER VISION-MEDIATED ANALYSIS TO DISTINGUISH SURGEON EXPERIENCE DURING ENDOSCOPIC STONE SURGERY

MP26-06 AUTOMATED SEGMENTATION OF UPPER URINARY TRACT TUMORS DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks

MP32-03 AUTOMATED SEGMENTATION OF KIDNEY STONES DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

V03-01 AUTOMATED KIDNEY STONE SEGMENTATION DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

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