MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

Home | Publications | back
Export 144 results:
Sort by: Author [ Title (Asc)] Year
Filters: Author is Heinrich, Mattias P.  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
N
Heinrich M.P., Jenkinson M., Bhushan M., Matin T., Gleeson F.V., Brady M.J., Schnabel J.A.
Non-local shape descriptor: a new similarity metric for deformable multi-modal registration.
Medical image computing and computer-assisted intervention : MICCAI 2011 International Conference on Medical Image Computing and Computer-Assisted Intervention, 14, Pt 2, 541-8, 2011
Abstract
Heinrich M.P., Papiez B.W., Schnabel J., Handels H.
Non-Parametric Discrete Registration with Convex Optimisation
In: Ourselin S., Modat M. (eds.), Biomedical Image Registration, WBIR 2014, London, Springer, Berlin, LNCS 8545, 51-61, 2014
O
Heinrich M.P., Oktay O., Bouteldja N.
OBELISK – One Kernel to Solve Nearly Everything:Unified 3D Binary Convolutions for Image Analysis
In: Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018
Heinrich M.P., Oktay O., Bouteldja N.
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions
Medical Image Analysis, 54, 1-9, 2019
Laule D., Diesel J., Heinrich M.P.
Occlusion Estimation in 3D Point Clouds using Visual Data from Home Care Scenarios
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 185-188, 2018
Hempe H., Yilmaz E.B., Meyer C., Heinrich M.P.
Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab
In: Proc. SPIE 12032, Medical Imaging 2022: Image Processing, San Diego, United States, SPIE, 17, 2022
P
Keuth R., Bigalke A., Heinrich M.P.
Pose-Based Control in Real-World Robotic Application
In: Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 315-318, 2022
Hansen L., Heinrich M.P.
Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg challenge
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 125-126, 2021
Buzug T.M., Birngruber R., Brinkmann R., Gehring H., Gutsmann T., Handels H., Heinrich M.P., Hellbrück H., Hübner C., Hüttmann G. et al. (eds.)
Proceedings, Student Conference 2015, Medical Engineering Science
Infinite Science Publishing, Lübeck, 2015
Zell F., Heinrich M.P.
Propagation of landmarks with a registration graph
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 209-212, 2017
R
Hansen L., Diesel J., Heinrich M.P.
Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room
In: Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 178-183, 2019
Boudnik L., Hochreiter J., Müllegger G., Heinrich M.P.
Removal of ECG artifacts caused by mechanical CPR using externally recorded compression markers
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 323-326, 2020
Ortmüller J., Werner R., Wilms M., Handels H., Gauer T.
Repiratory Surface Motion Measurement by Microsoft Kinect: Implementation and Evaluation of a clinical Setup
In: Buzug T.M., Birngruber R., Brinkmann R., Gehring H., Gutsmann T., Handels H., Heinrich M.P., et al (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 135-138, 2015
Kannath Kalam S., Weihsbach C., Heinrich M.P.
Revisiting the Iterative Image Registration Technique deeds in terms of Speed Performance
In: Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 467-470, 2022
S
Kepp T., Droigk C., Casper M., Evers M., Hüttmann G., Salma N., Manstein D., Heinrich M.P., Handels H.
Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks
Biomedical Optics Express, 10, 7, 3484-3496, 2019
Kepp T., Sudkamp H., von der Burchard C., Schenke H., Koch P., Hüttmann G., Roider J., Heinrich M.P., Handels H.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
In: SPIE Medical Imaging 2020, Houston, USA, 2020
Kepp T., Sudkamp H., von der Burchard C., Schenke H., Koch P., Hüttmann G., Roider J., Heinrich M.P., Handels H.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning
In: Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 183, 2020
Blendowski M., Heinrich M.P.
Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
In: Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 192, 2020
Schumacher M., Frey D., Ha I.Y., Genz A., Bade R., Heinrich M.P.
Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 16-21, 2021
Ha I.Y., Wilms M., Heinrich M.P.
Semantically Guided Large Deformation Estimation with Deep Networks
Sensors, 20, 5, 1392, 2020
Lucas C., Maier O., Heinrich M.P.
Shallow fully-connected neural networks for ischemic stroke-lesion segmentation in MRI
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 261-266, 2017
Soika K.L., Melnik S., Heinrich M.P.
Simulated Monochromatic X-ray Images by Forward Projection Utilizing the Lambert-Beer Law
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 285-288, 2017
Hansen L., Heinrich M.P.
Sparse Structured Prediction for Semantic Edge Detection in Medical Images
In: International Conference on Medical Imaging with Deep Learning, PMLR, 102, 250-259, 2019
Graf L., Mischkewitz S., Hansen L., Heinrich M.P.
Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data
In: Maier-Hein K., Deserno T., Handels H., Maier A., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 235-240, 2022
Oktay O., Bai W., Guerrero R., Rajchl M., de Marvao A., O’Regan D.P., Cook S.A., Heinrich M.P., Glocker B., Rueckert D.
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images
IEEE Transactions on Medical Imaging, IEEE, 36, 1, 332-342, 2017
Oktay O., Schuh A., Rajchl M., Keraudren K., Gomez A., Heinrich M.P., Penney G., Rueckert D.
Structured Decision Forests For Multi-modal Ultrasound Image Registration
In: Navab N., Hornegger J., Wells W., Frangi A.F. (eds.), 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Munich, Lecture Notes in Computer Science, Springer, Berlin, LNCS Vol. 9350, 363-371, 2015
Buzug T.M., Handels H. (eds.)
Student Conference Proceedings 2016: 5th Conference on Medical Engineering Science and 1st Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2016
Buzug T.M., Handels H. (eds.)
Student Conference Proceedings 2017: 6th Conference on Medical Engineering Science and 2nd Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2017
Buzug T.M., Handels H., Klein S. (eds.)
Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomedical Engineering
Infinite Science Publishing, Lübeck, 2018
Buzug T.M., Handels H., Klein S., Mertins A. (eds.)
Student Conference Proceedings 2019: 8th Conference on Medical Engineering Science and 4th Conference on Medical Informatics and 2nd Conference on Biomedical Engineering and 1st Conference on Auditory Technology
Infinite Science Publishing, Lübeck, 2019
Buzug T.M., Handels H., Klein S., Mertins A. (eds.)
Student Conference Proceedings 2020: 9th Conference on Medical Engineering Science and 5th Conference on Medical Informatics and 3rd Conference on Biomedical Engineering and 2nd Conference on Auditory Technology
Infinite Science Publishing, Lübeck, 2020
Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.)
Student Conference Proceedings 2021: 10th C. on Medical Engineering Science and 6th C. on Medical Informatics and 4th C. on Biomedical Engineering and 3rd C. on Auditory Technology and 1st C. on Biophysics and 1st C. on Robotics and Autonomous Systems
Infinite Science Publishing, Lübeck, 2021
Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.)
Student Conference Proceedings 2022: 11th C. on Medical Engineering Science and 7th C. on Medical Informatics and 5th C. on Biomedical Engineering and 4th C. on Auditory Technology and 2nd C. on Biophysics and 2nd C. on Robotics and Autonomous Systems
Infinite Science Publishing, Lübeck, 2022
Hermes N., Hansen L., Bigalke A., Heinrich M.P.
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation
In: Maier-Hein K., Deserno T., Handels H., Maier A., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 89-94, 2022
T
Heinrich M.P., Blendowski M., Oktay O.
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
International Journal of Computer Assisted Radiology and Surgery, 13, 9, 1311-1320, 2018
Kepp T., Ehrhardt J., Heinrich M.P., Hüttmann G., Handels H.
Topology-Preserving Shape-Based Regression of Retinal Layers in OCT Image Data Using Convolutional Neural Networks
In: IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venedig, Italien, 1437-1440, 2019
PDF
Ottink F.A., Koehler G., Heinrich M.P.
Towards Effective Contrastive Pretraining for Medical Image Segmentation
In: Buzug T.M., Handels H., Hübner C., Klein S., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 287-290, 2021
Heinrich M.P., Jenkinson M., Papiez B.W., Brady S.M., Schnabel J.A.
Towards realtime multimodal fusion for image-guided interventions using self-similarities.
Medical image computing and computer-assisted intervention : MICCAI 2013 International Conference on Medical Image Computing and Computer-Assisted Intervention, 16, Pt 1, 187-94, 2013
Abstract
Weller D., Hansen L., Blendowski M., Heinrich M.P.
Transferring a Deep Cityscape Synthesis Approach to the Medical Domain
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 91-94, 2018
U
Bockelmann N., Krüger D., Moosmann J., Heinrich M.P.
U-Net-based Segmentation of Biodegradable Bone Implants in Synchrotron Radiation Microtomograms with Sparse Annotations
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2019, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 145-148, 2019
Heinrich M.P., Hansen L.
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Mover’s discrepancies
In: International Conference on Medical Imaging with Deep Learning, 2020
Andresen J., Kepp T., Ehrhardt J., von der Burchard C., Roider J., Handels H.
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network
In: Hering A., Schnabel J., Zhang M., Ferrante E., Heinrich M.P., Rueckert D. (eds.), Biomedical Image Registration. WBIR 2022, Cham, Lecture Notes in Computer Science, Springer International Publishing, 13386, 3-7, 2022
W
Schumacher M., Genz A., Heinrich M.P.
Weakly supervised pancreas segmentation based on class activation maps
In: SPIE Medical Imaging 2020: Image Processing, Houston, United States, 11313, 1131314, 2020
Blendowski M., Hansen L., Heinrich M.P.
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration
Medical Image Analysis, 67, 101822, 2021

Languages

Program of Study

Study Medical Informatics
at the University of Lübeck

read more ...

Address

Office
Susanne Petersen

Tel+49 451 3101 5601
Fax+49 451 3101 5604


Ratzeburger Allee 160
23538 Lübeck
Germany
Contact · Impress · Log-In
Copyright © Institut für Medizinische Informatik. All Rights Reserved.

Powered by Drupal and Drupal Theme created with Artisteer by Dr. Wrage.