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Medical Applications with Disentanglements: First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

1, 2023

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PCG-cut: graph driven segmentation of the prostate central gland

PloS one, 2013-10, Vol.8 (10), p.e76645-e76645

2013

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Towards the Automatization of Cranial Implant Design in Cranioplasty II: Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

1st Edition 2021, 2021

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Computer-aided implant design for the restoration of cranial defects

Scientific reports, 2017-06, Vol.7 (1), p.4199-10, Article 4199

2017

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Towards the Automatization of Cranial Implant Design in Cranioplasty: First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

1st Edition 2020, 2020

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Pituitary adenoma volumetry with 3D Slicer

PloS one, 2012-12, Vol.7 (12), p.e51788-e51788

2012

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HTC Vive MeVisLab integration via OpenVR for medical applications

PloS one, 2017-03, Vol.12 (3), p.e0173972-e0173972

2017

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Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display

Journal of biomedical informatics, 2015-06, Vol.55, p.124-131

2015

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Cube-cut: vertebral body segmentation in MRI-data through cubic-shaped divergences

PloS one, 2014-04, Vol.9 (4), p.e93389-e93389

2014

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Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution

Scientific reports, 2023-11, Vol.13 (1), p.20229-20229, Article 20229

2023

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Shape in Medical Imaging: International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

1st Edition 2023, 2023

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GBM volumetry using the 3D Slicer medical image computing platform

Scientific reports, 2013-03, Vol.3 (1), p.1364-1364, Article 1364

2013

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Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

PloS one, 2019-03, Vol.14 (3), p.e0212550-e0212550

2019

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Computed tomography data collection of the complete human mandible and valid clinical ground truth models

Scientific data, 2019-01, Vol.6 (1), p.190003-190003, Article 190003

2019

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Häuser Machen Schule: Eine Architektursoziologische Analyse Gebauter Bildung

Egger, Jan

2019

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Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action

PloS one, 2018-05, Vol.13 (5), p.e0196378-e0196378

2018

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Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software

PloS one, 2017-03, Vol.12 (3), p.e0172694-e0172694

2017

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Schulhausarchitekturen im physischen und sozialen Siedlungsraum

Zeitschrift für Grundschulforschung, 2020-09, Vol.13 (2), p.277-293

Egger, Jan

2020

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Robust Detection and Segmentation for Diagnosis of Vertebral Diseases Using Routine MR Images

Computer graphics forum, 2014-09, Vol.33 (6), p.190-204

2014

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Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic

BMC infectious diseases, 2024-08, Vol.24 (1), p.1-13, Article 799

2024

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Improvement in Disease Diagnosis in Computed Tomography Images by Correlating Organ Volumes with Disease Occurrences in Humans

BioMedInformatics, 2023-09, Vol.3 (3), p.526-542

2023

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Computer-aided position planning of miniplates to treat facial bone defects

PloS one, 2017-08, Vol.12 (8), p.e0182839-e0182839

2017

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Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact

PeerJ. Computer science, 2021-11, Vol.7, p.e773-e773, Article e773

2021

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“A net for everyone”: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient

BMC medical imaging, 2023-10, Vol.23 (1), p.1-174, Article 174

2023

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Square-cut: a segmentation algorithm on the basis of a rectangle shape

PloS one, 2012-02, Vol.7 (2), p.e31064-e31064

2012

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Medical Applications with Disentanglements: First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

PCG-cut: graph driven segmentation of the prostate central gland

Towards the Automatization of Cranial Implant Design in Cranioplasty II: Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

Computer-aided implant design for the restoration of cranial defects

Towards the Automatization of Cranial Implant Design in Cranioplasty: First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Pituitary adenoma volumetry with 3D Slicer

HTC Vive MeVisLab integration via OpenVR for medical applications

Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display

Cube-cut: vertebral body segmentation in MRI-data through cubic-shaped divergences

Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution

Shape in Medical Imaging: International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

GBM volumetry using the 3D Slicer medical image computing platform

Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

Computed tomography data collection of the complete human mandible and valid clinical ground truth models

Häuser Machen Schule: Eine Architektursoziologische Analyse Gebauter Bildung

Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action

Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software

Schulhausarchitekturen im physischen und sozialen Siedlungsraum

Robust Detection and Segmentation for Diagnosis of Vertebral Diseases Using Routine MR Images

Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic

Improvement in Disease Diagnosis in Computed Tomography Images by Correlating Organ Volumes with Disease Occurrences in Humans

Computer-aided position planning of miniplates to treat facial bone defects

Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact

“A net for everyone”: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient

Square-cut: a segmentation algorithm on the basis of a rectangle shape

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