| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022 | 123 | 2022 |
| ANHIR: automatic non-rigid histological image registration challenge J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ... IEEE transactions on medical imaging 39 (10), 3042-3052, 2020 | 116 | 2020 |
| Deep learning approach to Parkinson’s disease detection using voice recordings and convolutional neural network dedicated to image classification M Wodzinski, A Skalski, D Hemmerling, JR Orozco-Arroyave, E Nöth 2019 41st annual international conference of the IEEE engineering in …, 2019 | 110 | 2019 |
| Automatic classification of canine thoracic radiographs using deep learning T Banzato, M Wodzinski, S Burti, VL Osti, V Rossoni, M Atzori, A Zotti Scientific Reports 11 (1), 3964, 2021 | 40 | 2021 |
| DeepHistReg: Unsupervised deep learning registration framework for differently stained histology samples M Wodzinski, H Müller Computer methods and programs in biomedicine 198, 105799, 2021 | 32 | 2021 |
| Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations N Marini, S Marchesin, S Otálora, M Wodzinski, A Caputo, ... NPJ digital medicine 5 (1), 102, 2022 | 30 | 2022 |
| Semi-supervised deep learning-based image registration method with volume penalty for real-time breast tumor bed localization M Wodzinski, I Ciepiela, T Kuszewski, P Kedzierawski, A Skalski Sensors 21 (12), 4085, 2021 | 24 | 2021 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
| Multistep, automatic and nonrigid image registration method for histology samples acquired using multiple stains M Wodzinski, A Skalski Physics in Medicine & Biology 66 (2), 025006, 2021 | 22 | 2021 |
| An AI-based algorithm for the automatic classification of thoracic radiographs in cats T Banzato, M Wodzinski, F Tauceri, C Donà, F Scavazza, H Müller, A Zotti Frontiers in veterinary science 8, 731936, 2021 | 19 | 2021 |
| Sequential classification of palm gestures based on A* algorithm and MLP neural network for quadrocopter control M Wodziński, A Krzyżanowska Metrology and Measurement Systems 24 (2), 265-276, 2017 | 19 | 2017 |
| Convolutional neural network approach to classify skin lesions using reflectance confocal microscopy M Wodzinski, A Skalski, A Witkowski, G Pellacani, J Ludzik 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 18 | 2019 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Data-driven color augmentation for H&E stained images in computational pathology N Marini, S Otalora, M Wodzinski, S Tomassini, AF Dragoni, ... Journal of Pathology Informatics 14, 100183, 2023 | 15 | 2023 |
| Learning-based affine registration of histological images M Wodzinski, H Müller Biomedical Image Registration: 9th International Workshop, WBIR 2020 …, 2020 | 14 | 2020 |
| Improving oncoplastic breast tumor bed localization for radiotherapy planning using image registration algorithms M Wodzinski, A Skalski, I Ciepiela, T Kuszewski, P Kedzierawski, J Gajda Physics in Medicine & Biology 63 (3), 035024, 2018 | 14 | 2018 |
| Improving the automatic cranial implant design in cranioplasty by linking different datasets M Wodzinski, M Daniol, D Hemmerling Towards the Automatization of Cranial Implant Design in Cranioplasty II …, 2021 | 12 | 2021 |
| Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling M Wodzinski, M Daniol, M Socha, D Hemmerling, M Stanuch, A Skalski Computer Methods and Programs in Biomedicine 226, 2022 | 11 | 2022 |
| Training deep neural networks for small and highly heterogeneous MRI datasets for cancer grading M Wodzinski, T Banzato, M Atzori, V Andrearczyk, YD Cid, H Muller 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 11 | 2020 |
| Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge J Li, DG Ellis, O Kodym, L Rauschenbach, C Rieß, U Sure, KH Wrede, ... Medical Image Analysis, 102865, 2023 | 10 | 2023 |
Andrzej SkalskiDepartment of Measurement and Electronics, AGH University of Science and Technology, MedApp S.A.Verified email at agh.edu.pl
