Szymon Plotka

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Projection Images

Convolutional Neural Networks

Top Venues

SUSI/PIPPI@MICCAI

Medical Image Anal.

Publications

Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
Let Me DeCode You: Decoder Conditioning with Tabular Data. CoRR (2024)
Szymon Plotka, Maciej Chrabaszcz, Przemyslaw Biecek
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation. CoRR (2024)
Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models. CoRR (2024)
Joanna Kaleta, Diego Dall'Alba, Szymon Plotka, Przemyslaw Korzeniowski
Minimal data requirement for realistic endoscopic image generation with Stable Diffusion. Int. J. Comput. Assist. Radiol. Surg. 19 (3) (2024)
Przemyslaw Bombinski, Patryk Szatkowski, Bartlomiej Sobieski, Tymoteusz Kwiecinski, Szymon Plotka, Mariusz Adamek, Marcin Banasiuk, Mariusz I. Furmanek, Przemyslaw Biecek
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography. CoRR (2024)
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
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. Medical Image Anal. 92 (2024)
Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Ivana Isgum, Clara I. Sánchez, Arkadiusz Sitek
BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. Comput. Biol. Medicine 167 (2023)
Michal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
TabAttention: Learning Attention Conditionally on Tabular Data. MICCAI (7) (2023)
Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. CoRR (2022)
Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka
POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection. CoRR (2022)
Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. MICCAI (4) (2022)
Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka
CXR-FL: Deep Learning-based Chest X-ray Image Analysis Using Federated Learning. CoRR (2022)
Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. STACOM@MICCAI (2022)
Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. CoRR (2022)
Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning. ICCS (1) (2022)
Szymon Plotka, Adam Klasa, Aneta Lisowska, Joanna Seliga-Siwecka, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements. CoRR (2022)
Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka
POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection. ICCS (1) (2022)
Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek
Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. IROS (2022)
Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek
Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. CoRR (2022)
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
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. CoRR (2022)
Szymon Plotka, Tomasz Wlodarczyk, Ryszard Szczerba, Przemyslaw Rokita, Patrycja Bartkowska, Oskar Komisarek, Artur Matthews-Brzozowski, Tomasz Trzcinski
Convolutional Neural Networks in Orthodontics: a review. CoRR (2021)
Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski
FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements. ICONIP (6) (2021)
Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski
FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements. CoRR (2021)
Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski
Spontaneous preterm birth prediction using convolutional neural networks. CoRR (2020)
Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski
Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks. ASMUS/PIPPI@MICCAI (2020)
Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki
Estimation of preterm birth markers with U-Net segmentation network. CoRR (2019)
Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki
Estimation of Preterm Birth Markers with U-Net Segmentation Network. SUSI/PIPPI@MICCAI (2019)