Marek Wodzinski

发表

Unsupervised Learning-Based Nonrigid Registration of High Resolution Histology Images

Henning Müller, Marek Wodzinski, H. Müller, 2020, MLMI@MICCAI.

DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples

Henning Müller, Marek Wodzinski, H. Müller, 2020, Comput. Methods Programs Biomed..

Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm pdf

Marek Wodzinski, Andrzej Skalski, A. Skalski, 2019, ArXiv.

Resection-Based Demons Regularization for Breast Tumor Bed Propagation

Marek Wodzinski, Andrzej Skalski, 2018, RAMBO+BIA+TIA@MICCAI.

Volume regularization in explicit image registration used for breast cancer bed localization

Marek Wodzinski, Andrzej Skalski, Tomasz Kuszewski, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Usage of ICP Algorithm for Initial Alignment in B-Splines FFD Image Registration in Breast Cancer Radiotherapy Planning

Marek Wodzinski, Andrzej Skalski, Tomasz Kuszewski, 2017 .

Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading

Manfredo Atzori, Henning Müller, Vincent Andrearczyk, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network

Marek Wodzinski, Andrzej Skalski, Maciej Stanuch, 2020, Sensors.

Automatic Quality Assessment of Reflectance Confocal Microscopy Mosaics using Attention-Based Deep Neural Network

Marek Wodzinski, Andrzej Skalski, Giovanni Pellacani, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Application of demons image registration algorithms in resected breast cancer lodge localization

Marek Wodzinski, Andrzej Skalski, Tomasz Kuszewski, 2017, 2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA).

Artificial CT Data Generation Method with Known Ground-Truth for Image Registration with Missing Data

Marek Wodzinski, Andrzej Skalski, A. Skalski, 2018, 2018 IEEE International Conference on Imaging Systems and Techniques (IST).

Improving oncoplastic breast tumor bed localization for radiotherapy planning using image registration algorithms

Marek Wodzinski, Andrzej Skalski, Tomasz Kuszewski, 2018, Physics in medicine and biology.

Multistep, automatic and nonrigid image registration method for histology samples acquired using multiple stains.

Marek Wodzinski, Andrzej Skalski, 2020, Physics in medicine and biology.

Rigid Registration Method for Medical Volumes with Large Deformations and Missing Data

Marek Wodzinski, Andrzej Skalski, A. Skalski, 2018, 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP).

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

Spyridon Bakas, Pekka Ruusuvuori, Stefan Heldmann, 2020, IEEE Transactions on Medical Imaging.

Application of B-splines FFD image registration in breast cancer radiotherapy planning

Marek Wodzinski, Andrzej Skalski, Tomasz Kuszewski, 2017, 2017 International Conference on Systems, Signals and Image Processing (IWSSIP).

Deep Learning Approach to Parkinson’s Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification

Elmar Nöth, Juan R. Orozco-Arroyave, Marek Wodzinski, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy

Marek Wodzinski, Andrzej Skalski, Giovanni Pellacani, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Learning-Based Affine Registration of Histological Images

Henning Müller, Marek Wodzinski, H. Müller, 2020, WBIR.

Semi-Supervised Deep Learning-Based Image Registration Method with Volume Penalty for Real-Time Breast Tumor Bed Localization

Marek Wodzinski, Andrzej Skalski, Piotr Kedzierawski, 2021, Sensors.

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning pdf

Marc Modat, Yuankai Huo, Ingerid Reinertsen, 2021, ArXiv.

Improving the Automatic Cranial Implant Design in Cranioplasty by Linking Different Datasets

Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, 2021, AutoImplant@MICCAI.

Adversarial Affine Registration for Real-Time Intraoperative Registration of 3-D US-US for Brain Shift Correction

Marek Wodzinski, Andrzej Skalski, 2021, ASMUS@MICCAI.

Learning-based local quality assessment of reflectance confocal microscopy images for dermatology applications

Marek Wodzinski, Andrzej Skalski, Giovanni Pellacani, 2021, Biocybernetics and Biomedical Engineering.

Invnet: A Deep Learning Approach To Invert Complex Deformation Fields

Marek Wodzinski, Henning Müller, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).