M. Urschler

发表

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

A Framework for Comparison and Evaluation of Nonlinear Intra-Subject Image Registration Algorithms

H. Bischof, M. Urschler, Stefan Kluckner, 2007, The Insight Journal.

3D-MAM: 3D morphable appearance model for efficient fine head pose estimation from still images

Horst Bischof, Martin Urschler, Markus Storer, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Person Independent Head Pose Estimation by Non-Linear Regression and Manifold Embedding

H. Bischof, M. Urschler, M. Storer, 2010 .

FACE IMAGE NORMALIZATION AND EXPRESSION / POSE VALIDATION FOR THE ANALYSIS OF MACHINE READABLE TRAVEL DOCUMENTS

Horst Bischof, Martin Urschler, Markus Storer, 2008 .

Quantification of Tortuosity and Fractal Dimension of the Lung Vessels in Pulmonary Hypertension Patients

M. Urschler, R. Stollberger, H. Olschewski, 2014, PloS one.

Partially Rigid Bone Registration in CT Angiography

H. Bischof, M. Urschler, H. Ditt, 2006 .

Pattern Recognition Society Partially Rigid Bone Registration in CT Angiography

H. Bischof, M. Urschler, H. Ditt, 2006 .

Integrating spatial configuration into heatmap regression based CNNs for landmark localization

Christian Payer, Martin Urschler, Darko Štern, 2019, Medical Image Anal..

Forensic age estimation by morphometric analysis of the manubrium from 3D MR images.

M. Urschler, B. Neumayer, J. Höller, 2017, Forensic science international.

Statistical Shape Models with Signed Distance Functions

M. Urschler, Marc Steiner, 2013 .

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

Jan S. Kirschke, Daguang Xu, Christian Payer, 2020, Medical Image Anal..

Matching 3 D Lung Surfaces with the Shape Context Approach

Horst Bischof, Martin Urschler, H. Bischof, 2004 .

Increased Tortuosity of Pulmonary Arteries in Patients with Pulmonary Hypertension in the Arteries

Michael Pienn, Christian Payer, Andrea Olschewski, 2015, MIUA.

Quantitative CT‐derived vessel metrics in idiopathic pulmonary fibrosis: A structure–function study

M. Urschler, A. Wells, M. Kokosi, 2019, Respirology.

Interactive, Integrated Segmentation and Visualization for Analysis and Presentation of Clinical Forensic Images

Dieter Schmalstieg, Martin Urschler, Alexander Bornik, 2012 .

Detection and volume estimation of artificial hematomas in the subcutaneous fatty tissue: comparison of different MR sequences at 3.0 T

M. Urschler, E. Scheurer, K. Yen, 2017, Forensic Science, Medicine, and Pathology.

The four-minute approach revisited: accelerating MRI-based multi-factorial age estimation

M. Urschler, B. Neumayer, R. Stollberger, 2019, International Journal of Legal Medicine.

Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography

M. Urschler, R. Stollberger, T. Johnson, 2018, Front. Physiol..

Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net

Horst Bischof, Christian Payer, Martin Urschler, 2020, VISIGRAPP.

Fusion of automatically estimated skeletal and dental age from a large reference database

Martin Urschler, Darko Stern, Sabine Grassegger, 2014 .

Proceedings of the OAGM Workshop 2018: Medical Image Analysis

Martin Welk, Martin Urschler, Peter M. Roth, 2018 .

CSISmartScan3D - Cost-efficient Integrated 3D Crime Scene Documentation

Friedrich Fraundorfer, Martin Urschler, Fabian Schenk, 2017 .

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs

Christian Payer, Martin Urschler, Gernot Plank, 2021, Medical Image Anal..

Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs

Bjoern H Menze, M. Urschler, D. Štern, 2022, Tomography.

A multi-center milestone study of clinical vertebral CT segmentation

Ronald M. Summers, Purang Abolmaesumi, Bulat Ibragimov, 2016, Comput. Medical Imaging Graph..

Vertebrae Segmentation in 3D CT Images Based on a Variational Framework

Martin Urschler, Thomas Pock, Darko Štern, 2015 .

Nonlinear Intra-Modality Registration of Medical Volume Data

Martin Urschler, M. Urschler, 2007 .

Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation

Thomas Neff, Christian Payer, Martin Urschler, 2017 .

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

Hao Chen, Chengwen Chu, Pheng-Ann Heng, 2017, Medical Image Anal..

Gland segmentation in colon histology images: The glas challenge contest

Hao Chen, Bogdan J. Matuszewski, Josien P. W. Pluim, 2016, Medical Image Anal..

Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks

Thomas Neff, Christian Payer, Martin Urschler, 2018, MICCAI.

Assessment of fiducial markers to enable the co-registration of photographs and MRI data.

Martin Urschler, Eva Scheurer, Andreas Petrovic, 2015, Forensic science international.

Learning Edge-Specific Kernel Functions For Pairwise Graph Matching

Horst Bischof, Michael Donoser, Martin Urschler, 2012, BMVC.

A Duality Based Algorithm for TV- L 1-Optical-Flow Image Registration

Horst Bischof, Martin Urschler, Thomas Pock, 2007, MICCAI.

Automatic Point Landmark Matching for Regularizing Nonlinear Intensity Registration: Application to Thoracic CT Images

Horst Bischof, Martin Urschler, Christopher Zach, 2006, MICCAI.

SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images

Horst Bischof, Martin Urschler, Joachim Bauer, 2006, CVAMIA.

Integrated computer-aided forensic case analysis, presentation, and documentation based on multimodal 3D data.

Dieter Schmalstieg, Martin Urschler, Alexander Bornik, 2018, Forensic science international.

Optimizing the 3D-reconstruction technique for serial block-face scanning electron microscopy

Martin Urschler, Stefan Wernitznig, Armin Zankel, 2016, Journal of Neuroscience Methods.

Automatic high-speed video glottis segmentation using salient regions and 3D geodesic active contours

Philipp Aichinger, Martin Urschler, Fabian Schenk, 2015 .

Interactive 2D/3D Image Denoising and Segmentation Tool for Medical Applications

Martin Urschler, Thomas Pock, Gerd Leitinger, 2014 .

Fractal dimension of lung vessels negatively correlates with hemodynamics of patients

M. Urschler, H. Olschewski, M. Helmberger, 2013 .

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Guang Yang, Guoyan Zheng, Jean-Yves Ramel, 2019, Medical Image Anal..

Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization

Martin Urschler, Michael Pfeiffer, Philipp Kainz, 2017, PeerJ.

Automated pneumothorax triaging in chest X‐rays in the New Zealand population using deep‐learning algorithms

M. Urschler, Julian Jang-Jaccard, Sijing Feng, 2022, Journal of medical imaging and radiation oncology.

Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation pdf

Martin Urschler, Michael Pfeiffer, Philipp Kainz, 2015, ArXiv.

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

Nicol'as P'erez de Olaguer, Bjorn H. Menze, Maximilian T. Loffler, 2020, Medical Image Anal..

VerSe: A Vertebrae Labelling and Segmentation Benchmark pdf

Jan S. Kirschke, Daguang Xu, Xin Wang, 2020, ArXiv.

Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data

Christian Payer, Martin Urschler, Darko Štern, 2019, IEEE Journal of Biomedical and Health Informatics.

Saliency driven total variation segmentation

Horst Bischof, Michael Donoser, Martin Urschler, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Applicability of Greulich-Pyle and Tanner-Whitehouse grading methods to MRI when assessing hand bone age in forensic age estimation: A pilot study.

Martin Urschler, Eva Scheurer, Martin Borkenstein, 2016, Forensic science international.

Towards Automatic Bone Age Estimation from MRI: Localization of 3D Anatomical Landmarks

Horst Bischof, Martin Urschler, Rene Donner, 2014, MICCAI.

Bone age estimation with the Greulich-Pyle atlas using 3T MR images of hand and wrist.

M. Urschler, E. Scheurer, Thomas Widek, 2020, Forensic science international.

Automated age estimation from MRI volumes of the hand

Christian Payer, Martin Urschler, Darko Štern, 2019, Medical Image Anal..

Regressing Heatmaps for Multiple Landmark Localization Using CNNs

Horst Bischof, Christian Payer, Martin Urschler, 2016, MICCAI.

Classifier fusion for robust ICAO compliant face analysis

Horst Bischof, Martin Urschler, Markus Storer, 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents

Martin Urschler, Darko Štern, Sabine Grassegger, 2015, Annals of human biology.

Colon Gland Segmentation with Deep Convolutional Neural Networks and Total Variation Segmentation

Martin Urschler, Michael Pfeiffer, Philipp Kainz, 2015 .

Fully Automatic Bone Age Estimation from Left Hand MR Images

Horst Bischof, Martin Urschler, Darko Stern, 2014, MICCAI.

Sparse-View CT Reconstruction Using Wasserstein GANs

Christian Payer, Martin Urschler, Kerstin Hammernik, 2018, MLMIR@MICCAI.

Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization

Martin Urschler, Darko Stern, Thomas Ebner, 2018, Medical Image Anal..

SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words

Martin Urschler, Jonathan J.Y. Kim, Patricia J. Riddle, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization pdf

Christian Payer, Martin Urschler, Darko Stern, 2021, Machine Learning for Biomedical Imaging.

Interactive 3D segmentation as an example for medical visual computing

Horst Bischof, Martin Urschler, Alexander Bornik, 2009 .

Regional differences in lung vessel morphology from thoracic CT images

M. Urschler, H. Olschewski, Christian Payer, 2015 .

Dental age estimation of living persons: Comparison of MRI with OPG.

Martin Urschler, Eva Scheurer, Andreas Petrovic, 2015, Forensic science international.

Highly Consistent Sequential Segmentation

Hayko Riemenschneider, Horst Bischof, Michael Donoser, 2011, SCIA.

Reducing acquisition time for MRI-based forensic age estimation

M. Urschler, B. Neumayer, R. Stollberger, 2018, Scientific Reports.

Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks

Christian Payer, Martin Urschler, Darko Štern, 2019, Medical Image Anal..

Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes

Jonathan J.Y. Kim, Patricia J. Riddle, M. Urschler, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Fast-Robust PCA

Horst Bischof, Martin Urschler, Peter M. Roth, 2009, SCIA.

Efficient Robust Active Appearance Model Fitting

Horst Bischof, Martin Urschler, Peter M. Roth, 2009, VISIGRAPP.

Active Appearance Model Fitting under Occlusion using Fast-robust PCA

Horst Bischof, Martin Urschler, Peter M. Roth, 2009, VISAPP.

From individual hand bone age estimates to fully automated age estimation via learning-based information fusion

Martin Urschler, Darko Stern, M. Urschler, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Automatic Glottis Segmentation from Laryngeal High-Speed Videos Using 3D Active Contours

Philipp Aichinger, Horst Bischof, Martin Urschler, 2014, MIUA.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Bjoern H Menze, Moon S Kim, David G. Ellis, 2023, arXiv.org.

Automated integer programming based separation of arteries and veins from thoracic CT images

Michael Pienn, Christian Payer, Andrea Olschewski, 2016, Medical Image Anal..

You Should Use Regression to Detect Cells

Vincent Lepetit, Martin Urschler, Paul Wohlhart, 2015, MICCAI.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Bjoern H Menze, Moon S Kim, David G. Ellis, 2023, ArXiv.

Automated Age Estimation from Hand MRI Volumes Using Deep Learning

Vincent Lepetit, Christian Payer, Martin Urschler, 2016, MICCAI.

Reducing acquisition time for MRI-based forensic age estimation

Christian Payer, Martin Urschler, Rudolf Stollberger, 2018, Scientific Reports.

Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours

Martin Urschler, Kerstin Hammernik, Darko Stern, 2015, CSI@MICCAI.

Robust Optical Flow Based Deformable Registration of Thoracic CT Images

Horst Bischof, Martin Urschler, Eva Scheurer, 2010 .

Intuitive presentation of clinical forensic data using anonymous and person-specific 3D reference manikins.

Martin Urschler, Alexander Bornik, Eva Scheurer, 2014, Forensic science international.

Forensic-Case Analysis: From 3D Imaging to Interactive Visualization

Dieter Schmalstieg, Horst Bischof, Martin Urschler, 2012, IEEE Computer Graphics and Applications.

Evaluating a Periapical Lesion Detection CNN on a Clinically Representative CBCT Dataset—A Validation Study

M. Urschler, B. Kirnbauer, Arnela Hadzic, 2023, Journal of Clinical Medicine.

Occlusion detection for ICAO compliant facial photographs

Horst Bischof, Martin Urschler, Markus Storer, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Robust Facial Component Detection for Face Alignment Applications

Horst Bischof, Martin Urschler, Markus Storer, 2009 .

Inferring the 3D Standing Spine Posture from 2D Radiographs

Jan S. Kirschke, Christian Payer, Martin Urschler, 2020, MICCAI.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Dante De Nigris, Sascha E. A. Muenzing, Marleen de Bruijne, 2011, IEEE Transactions on Medical Imaging.

Computerized Medical Imaging and Graphics

Alejandro F Frangi, Joseph E. Burns, M. Urschler, 2022 .

Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

M. Urschler, P. Delmas, J. Blanc-Talon, 2023, Journal of Food Measurement and Characterization.

Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net

M. Urschler, B. Kirnbauer, Arnela Hadzic, 2023, VISIGRAPP : VISAPP.

Harnessing Deep Learning to Detect Bronchiolitis Obliterans Syndrome from Chest CT

M. Urschler, S. Rahi, D. Oner, 2024, medRxiv.