T. Heimann

发表

3D Segmentation in the Clinic: A Grand Challenge

B. Ginneken, T. Heimann, M. Styner, 2007 .

A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation

Hans-Peter Meinzer, Ivo Wolf, Tobias Heimann, 2007, IPMI.

Implementing the Automatic Generation of 3 D Statistical Shape Models with ITK Release

T. Heimann, M. Styner, H. Meinzer, 2006 .

Minimally deformed correspondences between surfaces for intra-operative registration

Lena Maier-Hein, Hans-Peter Meinzer, Alfred M. Franz, 2012, Medical Imaging.

Noninvasive hemodynamic assessment, treatment outcome prediction and follow-up of aortic coarctation from MR imaging.

D. Comaniciu, Nassir Navab, T. Heimann, 2015, Medical physics.

New Results - Medical Image Analysis

Hervé Delingette, Olivier Clatz, Ezequiel Geremia, 2009 .

Branching Patterns and Drainage Territories of the Middle Hepatic Vein in Computer‐Simulated Right Living‐Donor Hepatectomies

T. Heimann, M. Büchler, H. Meinzer, 2006, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

12 Model-based Segmentation

T. Heimann, H. Delingette, 2013 .

End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

T. Heimann, Marvin Teichmann, H. Bohnenberger, 2022, 2207.00095.

A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation

T. Heimann, C. Thieke, B. Geiger, 2022, Radiation oncology.

Statistical shape models for 3D medical image segmentation: A review

Hans-Peter Meinzer, Tobias Heimann, T. Heimann, 2009, Medical Image Anal..

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

Martin Styner, Jacob D. Furst, Thomas Lange, 2009, IEEE Transactions on Medical Imaging.

End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

T. Heimann, Marvin Teichmann, H. Bohnenberger, 2022, MICCAI.

Real-time ultrasound transducer localization in fluoroscopy images by transfer learning from synthetic training data

Peter Mountney, Razvan Ioan Ionasec, Tobias Heimann, 2014, Medical Image Anal..

Learning without Labeling: Domain Adaptation for Ultrasound Transducer Localization

Peter Mountney, Razvan Ioan Ionasec, Tobias Heimann, 2013, MICCAI.

Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery.

Hervé Delingette, Rémy Willinger, Tobias Heimann, 2010, Progress in biophysics and molecular biology.

Model-Based Segmentation

Tobias Heimann, Hervé Delingette, T. Heimann, 2010 .

6DoF Catheter Detection, Application to Intracardiac Echocardiography

Nassir Navab, Estelle Camus, Tobias Heimann, 2014, MICCAI.

Accurate volume measurement for liver surgery in vivo evaluation with a pig model

Hans-Peter Meinzer, Tobias Heimann, Peter Schemmer, 2004, CARS.

SVF-Net: Learning Deformable Image Registration Using Shape Matching

Maxime Sermesant, Xavier Pennec, Tobias Heimann, 2017, MICCAI.

Validation of Fourier decomposition MRI with dynamic contrast-enhanced MRI using visual and automated scoring of pulmonary perfusion in young cystic fibrosis patients.

Annette Kopp-Schneider, Tobias Heimann, Grzegorz Bauman, 2013, European journal of radiology.

Active Shape Models for a Fully Automated 3D Segmentation of the Liver - An Evaluation on Clinical Data

Hans-Peter Meinzer, Ivo Wolf, Tobias Heimann, 2006, MICCAI.

Pose-independent surface matching for intra-operative soft-tissue marker-less registration

Lena Maier-Hein, Stefanie Speidel, Thomas Kilgus, 2014, Medical Image Anal..

Segmentation of Knee Images: A Grand Challenge

Simon K. Warfield, Marc Niethammer, Tobias Heimann, 2010 .

Statistical tracking of tree-like tubular structures with efficient branching detection in 3D medical image data

H P Meinzer, X Wang, T Heimann, 2012, Physics in medicine and biology.

Automatic quantification of subcutaneous and visceral adipose tissue from whole‐body magnetic resonance images suitable for large cohort studies

Diana Wald, Hans-Peter Meinzer, Tobias Heimann, 2012, Journal of magnetic resonance imaging : JMRI.

COMPUTER-BASED SURGERY PLANNING FOR LIVING LIVER DONATION

Marco Nolden, Tobias Heimann, Matthias Thorn, 2004 .

Automatic detection of cardiac cycle and measurement of the mitral annulus diameter in 4D TEE images

Hans-Peter Meinzer, Tobias Heimann, Bastian Graser, 2012, Medical Imaging.

Automated scoring of regional lung perfusion in children from contrast enhanced 3D MRI

Hans-Peter Meinzer, Tobias Heimann, Grzegorz Bauman, 2012, Medical Imaging.

Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics

T. Heimann, L. Goubergrits, A. Setio, 2021, IEEE Journal of Biomedical and Health Informatics.

The segments of the hepatic veins-is there a spatial correlation to the Couinaud liver segments?

Tobias Heimann, Matthias Thorn, Lars Grenacher, 2005, European journal of radiology.

Subject-Specific Ligament Models: Toward Real-Time Simulation of the Knee Joint

Hervé Delingette, Tobias Heimann, Hans Lamecker, 2010 .

Analysis of adipose tissue distribution using whole-body magnetic resonance imaging

Diana Wald, Tobias Schwarz, Hans-Peter Meinzer, 2011, Medical Imaging.

A Statistical Deformable Model for the Segmentation of Liver CT Volumes

Hans-Peter Meinzer, Ivo Wolf, Tobias Heimann, 2007 .

Multiplicative Jacobian Energy Decomposition Method for Fast Porous Visco-Hyperelastic Soft Tissue Model

Rémy Willinger, Stéphanie Marchesseau, Tobias Heimann, 2010, MICCAI.

Automatic Generation of 3D Statistical Shape Models with Optimal Landmark Distributions

T Heimann, T. Heimann, H. Meinzer, 2007, Methods of Information in Medicine.

Neurodegenerative changes in Alzheimer's disease: a comparative study of manual, semi-automated, and fully automated assessment using MRI

Hans-Peter Meinzer, Horst K. Hahn, Frederik L. Giesel, 2008, SPIE Medical Imaging.