Marek Wodzinski
Orcid: 0000-0002-8076-6246
According to our database1,
Marek Wodzinski
authored at least 38 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.
Medical Image Anal., August, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
DRU-Net: Pulmonary Artery Segmentation via Dense Residual U-Network with Hybrid Loss Function.
Sensors, 2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
CoRR, 2023
Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023
Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge.
Proceedings of the Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition, 2023
High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
npj Digit. Medicine, 2022
Deep learning-based framework for automatic cranial defect reconstruction and implant modeling.
Comput. Methods Programs Biomed., 2022
Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Semi-Supervised Deep Learning-Based Image Registration Method with Volume Penalty for Real-Time Breast Tumor Bed Localization.
Sensors, 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples.
Comput. Methods Programs Biomed., 2021
Adversarial Affine Registration for Real-Time Intraoperative Registration of 3-D US-US for Brain Shift Correction.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Improving the Automatic Cranial Implant Design in Cranioplasty by Linking Different Datasets.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty II, 2021
Semi-supervised Multilevel Symmetric Image Registration Method for Magnetic Resonance Whole Brain Images.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
IEEE Trans. Medical Imaging, 2020
Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network.
Sensors, 2020
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Unsupervised Learning-Based Nonrigid Registration of High Resolution Histology Images.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Automatic Quality Assessment of Reflectance Confocal Microscopy Mosaics using Attention-Based Deep Neural Network.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm.
CoRR, 2019
Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Rigid Registration Method for Medical Volumes with Large Deformations and Missing Data.
Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018
Artificial CT Data Generation Method with Known Ground-Truth for Image Registration with Missing Data.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018
Volume regularization in explicit image registration used for breast cancer bed localization.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Application of demons image registration algorithms in resected breast cancer lodge localization.
Proceedings of the Signal Processing: Algorithms, 2017
Application of B-splines FFD image registration in breast cancer radiotherapy planning.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2017