Our paper on efficient deep CNNs with binary sparse convolutions has been accepted for MICCAI 2017 in Quebec:
MP Heinrich, O Oktay: BRIEFnet: Deep Pancreas Segmentation using Binary Sparse Convolutions
(for more information and code, see GitHub)
A new state-of-the-art in deformable image registration (first rank in EMPIRE10) has been reached in our new IEEE Transactions on Medical Imaging paper:
J Rühaak, T Polzin, S Heldmann, IJA Simpson, H Handels, J Modersitzki, MP Heinrich:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration
fissure segmentation data for COPD scans is available at research
for a short overview see ieee-tmi-org
We presented three papers at MICCAI 2016 in Athens (including):
MP Heinrich, M Blendowski: Multi-Organ Segmentation using Vantage Point Forests and Binary Context Features
(for more information and code, see research)
Special Issue on Graphical Models in Medical Image Analysis:
MP Heinrich, IJA Simpson, BW Papiez, M Brady, JA Schnabel: Deformable image registration by combining uncertainty estimates from supervoxel belief propagation(link to Elsevier) Code is coming soon
Medical Image Analysis 20th Anniversary Issue:
JA Schnabel, MP Heinrich, BW Papiez, M Brady: Advances and Challenges in Deformable Image Registration: From Image Fusion to Complex Motion Modelling
(link to Elsevier)
When graduating from Oxford, you get to wear a neat gown.
My discrete registration approach deeds (see software) has won the first place in a comprehensive abdominal registration comparison against NiftyReg, ANTS SyN, IRTK and FSL. The paper describing the results is entitled "Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT" (by Z Xu, C Lee, MP Heinrich, M Modat, D Rueckert, Ourselin S, R Abramson, and B Landman) at IEEE TBME. Details on the parameter settings for deeds can be found in the following short paper (pdf) and presentation (talk).
I have won the British Machine Vision Association and Society for Pattern Recognition (BMVA) Sullivan Thesis Prize 2014 for the best UK PhD thesis in Computer Vision. More details can be found at: http://www.bmva.org/_media/bmva-news-2014-09.pdf
My mini-lecture for the MICCAI Educational Challenge on Random Walk Segmentation (2nd Prize, Jury Vote) can be found here MEC 2015 or directly here QuickTime Movie (Resolution: 1152x720, AAC, H.264, duration 8 min 22 secs, size 59 MByte)
In August 2013, I finished my D.Phil. (Ph.D.) at the University of Oxford. I used to work at the Institute of Biomedical Engineering together with Julia Schnabel, Mark Jenkinson and Sir Michael Brady. My thesis was entitled: "Deformable Lung Registration
for Pulmonary Image Analysis of MRI and CT scans".
In November 2013, I have started a post as Juniorprofessor (assistant professor) at the Institute of Medical Informatics (IMI), at the University of Luebeck, working with Prof. Heinz Handels. At the IMI, we work on patient-specific respiratory motion models, to compensate motion during radiotherapy; a virtual reality simulator with visual and haptic feedback for a realistic training of interventions; and many other useful things.
Luebeck is just 20 min. away from the Baltic Sea.
My main research focus lies in the development of deformable image registration tools. I mainly worked on CT lung registration, but I am also very interested in multi-modal image registration and atlas-based segmentation. In my work, I always aim to develop methods that are computational very efficient and also widely applicable. Previously, I developed novel descriptor-based image representations, which can improve the robustness and accuracy of a large variety of medical image registration tasks. Further, I developed discrete optimisation strategies, which can greatly reduce the time needed for deformable image registration to less than a minute, making the software useful for time-sensitive applications and large datasets.
If you would like to use any of the code I developed for my previous publications, are interested in collaborating on a related medical image analysis project or are looking for a supervisor for a student project (B.Sc./M.Sc.), please don't hesitate to contact me.
Dr. Mattias P. Heinrich,
Insitute of Medical Informatics, Universität Lübeck
Ratzeburger Allee 160, 23538 Lübeck, Germany
heinrich (at) imi (dot) uni-luebeck (dot) de