Arkadiusz Sitek
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2016–2025
Best venue rank
A
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | RegScore: Scoring Systems for Regression Tasks. | Michal K. Grzeszczyk, Tomasz Szczepanski, Pawel Renc, Siyeop Yoon, Jerome Charton, Tomasz Trzcinski, Arkadiusz Sitek |
| 2025 | MICCAI | GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation. | Tomasz Szczepanski, Szymon Plotka, Michal K. Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek |
| 2025 | MICCAI | Non-invasive Mean Pulmonary Artery Pressure Prediction Using Multi-modal Feature Fusion of Chest X-Ray and ECG. | Siyeop Yoon, Jerome Charton, Michal K. Grzeszczyk, Arkadiusz Sitek, Hui Ren, Quangzheng Li, Kei Nakata |
| 2024 | MICCAI | TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. | Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek |
| 2024 | MICCAI | 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 |
| 2024 | SDM | MISS: Multiclass Interpretable Scoring Systems. | Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek |
| 2023 | ICCS | Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation. | Magdalena Dul, Michal K. Grzeszczyk, Ewelina Nojszewska, Arkadiusz Sitek |
| 2023 | MICCAI | 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 |
| 2022 | GECCO | A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. | Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost B. Wagenaar |
| 2022 | ICCS | Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. | Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek |
| 2022 | ICCS | Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model. | Arkadiusz Pajor, Jakub Zolnierek, Bartlomiej Sniezynski, Arkadiusz Sitek |
| 2022 | ICCS | POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection. | Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka |
| 2022 | IROS | Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. | Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek |
| 2022 | MICCAI | 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 |
| 2021 | ICONIP | FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements. | Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski |
| 2017 | MICCAI | Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. | Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li |
| 2016 | ICASSP | Gold classification of COPDGene cohort based on deep learning. | Jun Ying, Joyita Dutta, Ning Guo, Lei Xia, Arkadiusz Sitek, Quanzheng Li |