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Heinrich M.P., Jenkinson M., Jenkinson M., Schnabel J.A.
Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.
Medical image computing and computer-assisted intervention : MICCAI 2012 International Conference on Medical Image Computing and Computer-Assisted Intervention, 15, Pt 3, 115-22, 2012
Abstract
F
Sirocko J., Diesel J., Heinrich M.P.
Frequency based detection of regions of interest in videodata to estimate human breathing frequency
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, 177-180, 2020
Gillner M.L., Hansen L., Heinrich M.P.
Fast Pulmonary Fissure Detection in CT Scans using Deep Learning on Point Clouds
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, 201-204, 2020
E
Heinrich M.P., Oktay O.
Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 40-41, 2018
Schumacher M., Klinder T., Schmidt-Richberg A., Kabus S., Heinrich M.P.
Evaluation of medical image registration algorithms on pulmonary inhale and exhale CT scans
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 191-194, 2016
Heinrich M.P., Handels H., Simpson I.
Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields
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, 338-345, 2015
PDF
Großbröhmer C., Blendowski M., Heinrich M.P.
Efficient Self-Supervised Context Learning on MRI data
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, 189-192, 2020
D
Bartram L., Dedersen B., Heinrich M.P.
Development of a Deep Learning based classification of respirator masks for a mobile application
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, 193-196, 2020
Krooß J., Brendel B., Köhler T., Heinrich M.P.
Denoising spectral CT images using parallel level sets
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 207-210, 2016
Hansen L., Blendowski M., Heinrich M.P.
Defence of Mathematical Models for Deep Learning based Registration
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, 32, 2020
Hagenah J., Heinrich M.P., Ernst F.
Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images
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, 198, 2019
Vogt N., Lorenz C., Brosch T., Heinrich M.P.
Deep learning for spinal centerline extraction
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 229-232, 2017
Siebert H., Heinrich M.P.
Deep Groupwise Registration of MRI Using Deforming Autoencoders
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, 236-241, 2020
Bouteldja N., Heinrich M.P.
Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 229-232, 2018
C
B
Heinrich M.P., Oktay O.
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 329-337, 2017
PDF
A
Rüttgers S., Hocke J., Heinrich M.P.
Automatic segmentation of prostate zones in MRI data using different variants of the U-Net
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, 169-172, 2020
Baltruschat M., Hensel M., Heinrich M.P.
Automatic Orientation Detection of Hand Structures in Digital X-Ray Images
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 203-206, 2016
Herrmann S., Schneider D., Mrongowius J., Heinrich M.P.
Aortic Detection in Image Sequences of Electrical Impedance Tomography
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, 335-338, 2020
Heinrich M.P., Oktay O.
Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion
In: International Workshop on Computational Methods and Clinical Applications for Spine Imaging, Springer, Cham, 77-84, 2016
3
Blendowski M., Heinrich M.P.
3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin, Heidelberg, 23-28, 2018

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