Szymon Plotka

According to our database, Szymon Plotka authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Minimal data requirement for realistic endoscopic image generation with Stable Diffusion.

Joanna Kaleta, Diego Dall'Alba, Szymon Plotka, Przemyslaw Korzeniowski

Int. J. Comput. Assist. Radiol. Surg., March, 2024

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings.

Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov

Medical Image Anal., February, 2024

Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography.

Przemyslaw Bombinski, Patryk Szatkowski, Bartlomiej Sobieski, Tymoteusz Kwiecinski, Szymon Plotka, Mariusz Adamek, Marcin Banasiuk, Mariusz I. Furmanek, Przemyslaw Biecek

CoRR, 2024

2023

BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery.

Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Ivana Isgum, Clara I. Sánchez, Arkadiusz Sitek

Comput. Biol. Medicine, December, 2023

TabAttention: Learning Attention Conditionally on Tabular Data.

Michal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Why is the Winner the Best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.

Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov

CoRR, 2022

Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements.

Szymon Plotka, Adam Klasa, Aneta Lisowska, Joanna Seliga-Siwecka, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek

CoRR, 2022

Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation.

Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video.

Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery.

Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection.

Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka

Proceedings of the Computational Science - ICCS 2022, 2022

CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning.

Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Convolutional Neural Networks in Orthodontics: a review.

Szymon Plotka, Tomasz Wlodarczyk, Ryszard Szczerba, Przemyslaw Rokita, Patrycja Bartkowska, Oskar Komisarek, Artur Matthews-Brzozowski, Tomasz Trzcinski

CoRR, 2021

FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements.

Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks.

Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

2019

Estimation of Preterm Birth Markers with U-Net Segmentation Network.

Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki

Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019