Marius Erdt

发表

Machine learning methods for bio-medical image and signal processing: Recent advances.

O. Sourina, Yaoli Wang, Qing Chang, 2022, Methods.

The Technologically Integrated Oncosimulator: Combining Multiscale Cancer Modeling With Information Technology in the In Silico Oncology Context

Manolis Tsiknakis, Stefan Rüping, Robert G. Belleman, 2014, IEEE Journal of Biomedical and Health Informatics.

A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data

Stefan Wesarg, Anqi Wang, Feng Lin, 2019, Comput. Medical Imaging Graph..

Clinical Image-Based Procedures: 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

M. Linguraru, R. Shekhar, K. Drechsler, 2023, CLIP@MICCAI.

Automatic Hepatic Vessel Segmentation Using Graphics Hardware

Marius Erdt, Matthias Raspe, Michael Sühling, 2008, MIAR.

Regmentation: A New View of Image Segmentation and Registration

Georgios Sakas, Marius Erdt, Sebastian Steger, 2017, Journal of Radiation Oncology Informatics.

Non-uniform deformable volumetric objects for medical organ segmentation and registration

Marius Erdt, Marius Erdt, 2012 .

Dual-energy CT-based Assessment of the Trabecular Bone in Vertebrae

M. F. Khan, M. Kirschner, S. Wesarg, 2012, Methods of Information in Medicine.

Self-supervised pairing image clustering for automated quality control

Alexei Sourin, Marius Erdt, Wenting Dai, 2021, The Visual Computer.

Soldering defect detection in automatic optical inspection

Alexei Sourin, Marius Erdt, Wenting Dai, 2020, Adv. Eng. Informatics.

One class based feature learning approach for defect detection using deep autoencoders

Marius Erdt, Alexei Sourin, Wenting Dai, 2019, Adv. Eng. Informatics.

Synthesis of Medical Images Using GANs

Marius Erdt, Luise Middel, Christoph Palm, 2019, UNSURE/CLIP@MICCAI.

Medical image segmentation in oral-maxillofacial surgery

Jan Egger, Marius Erdt, Jianning Li, 2021 .

Detection and segmentation of image anomalies based on unsupervised defect reparation

Alexei Sourin, Marius Erdt, Wenting Dai, 2021, The Visual Computer.

Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures

Stefan Wesarg, M. Jorge Cardoso, Terry M. Peters, 2017, Lecture Notes in Computer Science.

Clinical Image-Based Procedures. Translational Research in Medical Imaging

Stefan Wesarg, Marius George Linguraru, Raj Shekhar, 2016, Lecture Notes in Computer Science.

A Novel Bayesian Model Incorporating Deep Neural Network and Statistical Shape Model for Pancreas Segmentation

Stefan Wesarg, Feng Lin, Jingting Ma, 2018, MICCAI.

Multi-Layer Deformable Models for medical image segmentation

Stefan Wesarg, Marius Erdt, Patrice Schlegel, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

Fast automatic liver segmentation combining learned shape priors with observed shape deviation

Matthias Kirschner, Marius Erdt, M. Kirschner, 2010, 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS).

Model-Based Pancreas Segmentation in Portal Venous Phase Contrast-Enhanced CT Images

Stefan Wesarg, Matthias Kirschner, Peter Dankerl, 2013, Journal of Digital Imaging.

The Technologically Integrated Oncosimulator: Combining Multiscale Cancer Modeling With Information Technology in the In Silico Oncology Context

S. Rüping, C. Desmedt, M. Tsiknakis, 2014, IEEE Journal of Biomedical and Health Informatics.

Unsupervised Surface Defect Detection Using Deep Autoencoders and Data Augmentation

Alexei Sourin, Marius Erdt, Wenting Dai, 2018, 2018 International Conference on Cyberworlds (CW).

Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors

Stefan Wesarg, Matthias Kirschner, Matthias Hammon, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

‘In Silico’ Oncology for Clinical Decision Making in the Context of Nephroblastoma

M Tsiknakis, C Desmedt, G Stamatakos, 2009, Klinische Padiatrie.

A Data-driven Approach for Adding Facade Details to Textured LoD2 CityGML Models

Henry Johan, Kan Chen, Marius Erdt, 2019, VISIGRAPP.

Adaptive Transfer Learning To Enhance Domain Transfer In Brain Tumor Segmentation

Yuan Liqiang, Marius Erdt, Wang Lipo, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).