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 (SUSI/PIPPI@MICCAI, 2019)

Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks. - Tomasz Wlodarczyk; Szymon Plotka; Przemyslaw Rokita; Nicole Sochacki-Wójcicka; Jakub Wójcicki; Michal Lipa; Tomasz Trzcinski (ASMUS/PIPPI@MICCAI, 2020)

FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements. - Szymon Plotka; Tomasz Wlodarczyk; Adam Klasa; Michal Lipa; Arkadiusz Sitek; Tomasz Trzcinski (ICONIP (6), 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)

CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning. - Filip Slazyk; Przemyslaw Jablecki; Aneta Lisowska; Maciej Malawski; Szymon Plotka (ICCS (1), 2022)

POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection. - Tomasz Szczepanski; Arkadiusz Sitek; Tomasz Trzcinski; Szymon Plotka (ICCS (1), 2022)

Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. - Przemyslaw Korzeniowski; Szymon Plotka; Robert Brawura-Biskupski-Samaha; Arkadiusz Sitek (IROS, 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 (MICCAI (4), 2022)

Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. - Michal K. Grzeszczyk; Szymon Plotka; Arkadiusz Sitek (STACOM@MICCAI, 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)

FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (CoRR, 2022)

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; et al. (CVPR, 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 (MICCAI (7), 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, 2023)

Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation. - Szymon Plotka; Maciej Chrabaszcz; Przemyslaw Biecek (MICCAI (8), 2024)

Let Me DeCode You: Decoder Conditioning with Tabular Data. - Tomasz Szczepanski; Michal K. Grzeszczyk; Szymon Plotka; Arleta Adamowicz; Piotr Fudalej; Przemyslaw Korzeniowski; Tomasz Trzcinski; Arkadiusz Sitek (MICCAI (3), 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)

Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation. - Szymon Plotka; Maciej Chrabaszcz; Przemyslaw Biecek (CoRR, 2024)

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. - Adrito Das; Danyal Z. Khan; Dimitrios Psychogyios; Yitong Zhang; John G. Hanrahan; Francisco Vasconcelos 001; You Pang; Zhen Chen 018; Jinlin Wu; Xiaoyang Zou; Guoyan Zheng; Abdul Qayyum; et al. (CoRR, 2024)

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (Medical Image Anal., 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., 2024)

Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models. - Maciej Chrabaszcz; Hubert Baniecki; Piotr Komorowski; Szymon Plotka; Przemyslaw Biecek (WACV, 2025)

SimuScope: Realistic Endoscopic Synthetic Dataset Generation Through Surgical Simulation and Diffusion Models. - Sabina Martyniak; Joanna Kaleta; Diego Dall'Alba; Michal Naskret; Szymon Plotka; Przemyslaw Korzeniowski (WACV, 2025)

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery. - Adrito Das; Danyal Z. Khan; Dimitrios Psychogyios; Yitong Zhang; John G. Hanrahan; Francisco Vasconcelos 001; You Pang; Zhen Chen 018; Jinlin Wu; Xiaoyang Zou; Guoyan Zheng; Abdul Qayyum; et al. (Medical Image Anal., 2025)

Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome. - Szymon Plotka; Tomasz Szczepanski; Paula Szenejko; Przemyslaw Korzeniowski; Jesús Rodriguez Calvo; Asma Khalil; Alireza Shamshirsaz; Robert Brawura-Biskupski-Samaha; Ivana Isgum; Clara I. Sánchez; Arkadiusz Sitek (Medical Image Anal., 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge. - Yudi Sang; Yanzhen Liu; Sutuke Yibulayimu; Yunning Wang; Benjamin D. Killeen; Mingxu Liu; Ping-Cheng Ku; Ole Johannsen; Karol Gotkowski; Maximilian Zenk; Klaus H. Maier-Hein; Fabian Isensee; et al. (CoRR, 2025)

PanTS: The Pancreatic Tumor Segmentation Dataset. - Wenxuan Li; Xinze Zhou; Qi Chen; Tianyu Lin; Pedro R. A. S. Bassi; Szymon Plotka; Jaroslaw B. Cwikla; Xiaoxi Chen; Chen Ye; Zheren Zhu; Kai Ding; Heng Li; et al. (CoRR, 2025)

Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation. - Szymon Plotka; Maciej Chrabaszcz; Gizem Mert; Ewa Szczurek; Arkadiusz Sitek (CoRR, 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)