Welcome to my homepage. I am currently working at post-doc position in the Biomedical Imaging Algorithms (BIA) group which is led by Prof. Jan Kybic. The group is part of the Center for Machine Perception (CMP), at the Department of cybernetics, Faculty of electrical engineering of the Czech Technical University in Prague.
Contacts:Office E-215 (Building E, 2nd floor)
Address:Czech Technical University in Prague
Faculty of Electrical Engineering
Department of Cybernetics
Karlovo namesti 13
121 35 Prague 2
I also have a ResearchGate profile.
22.11.2016 | RigorosumI have successfully defended my doctoral thesis Robust Motion and Distortion Correction of Diffusion-weighted MR Images (HeiDok Link) at the 'Naturwissenschaftliche Gesamtfakultät' of the Heidelberg University, Germany
1.11.2016 | Started at post-doc position at CMP-BIA groupFrom the 1st of November, I have joined the Biomedical Imaging Algorithms group of Prof. Jan Kybic.
Multiple Instance Learning (MIL) for bone cancer detection (current)One of the characteristics of multiple myeloma is the propagation of the disease into the bone marrow tissue. In clinical routine, the extent of bone marrow tissue infiltration is used for staging purposes. Since a thorough and complete annotation of all infiltrations is hard to accomplish, the problem of automatic infiltration detection can be formulated as a multiple-instance learning task.
(Pre)processing of diffusion-weighted MR ImagesOne of the crucial tasks for robust analysis of diffusion-weighted data is the task of correcting for motion and acquisition distortion. To achieve a robust correction scheme I have focused on developing an image registration method that can consider and efficiently combine the information from available image metrics. In the novel, multi-objective correction scheme, a local optimization method by traditional pair-wise image registration is considered together with a global, particle-swarm optimization method.
MITK DiffusionDuring my doctoral studies, I have contributed to the development and release-process of the MITK Diffusion application, an open-source solution for the processing of diffusion-weighted MR images.
GPGPUWhile finishing my mathematics studies at the Heidelberg University, I worked as student apprentice in the group of Dr. Susanne Kroemker, where my projects focused on parallel computation using graphics cards. Next to the project, i have applied this technique in my diploma-thesis in the context of electro-magnetic navigation in endoscopy
Hering J, Wolf I, Maier-Hein KH, Multi-Objective Memetic Search for Robust Motion and Distortion Correction in Diffusion MRI. IEEE TMI, 2016 DOI
Hering J, ..., Bickelhaupt S., Applicability and discriminative value of a semi-automatic 3D-spherical-volume for the assessment of the apparent-diffusion-coefficient in suspicious breast lesions - feasibility study. Clinical Imaging, 2016 DOI
Hering J, Wolf I, Meinzer HP, Stieltjes B, Maier-Hein (Fritzsche) KH. A quantitative evaluation of errors induced by reduced field-of-view in diffusion tensor imaging. CDMRI, MICCAI 2013 Workshops, Japan
Hering J, Wolf I, Meinzer HP, Maier-Hein KH. Model-based motion correction of reduced field of view diffusion MRI data. In: SPIE Medical Imaging, 2014.
Hering J, Neher PF, Meinzer HP, Maier-Hein KH. Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI. In: Bildverarbeitung für die Medizin 2014.
Hering J, Wolf I, Moher Alsady T, Meinzer HP, Maier-Hein KH. A Memetic Search Scheme for Robust Registration of Diffusion-Weighted MR Images. In: Bildverarbeitung für die Medizin 2015
Hering J, Neher PF, Stiejltes B, Maier-Hein KH. DTI Tractography Challenge MICCAI 2014 – MITK Global Tractography
Hering J, Neher PF, Meinzer HP, Maier-Hein KH. Construction of ground-truth data for head motion correction in diffusion MRI. Proc. Annual Meeting ISMRM, Mailand 2014