Arkadiusz Sitek

59 papers A 2B 2Misc 1Journal 33Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Early and Prediagnostic Detection of Pancreatic Cancer from Computed Tomography. CoRR Wenxuan Li, Pedro R. A. S. Bassi, Lizhou Wu, Xinze Zhou, Yuxuan Zhao, Qi Chen, Szymon Plotka, Tianyu Lin, Zheren Zhu, Marisa Martin, Justin Caskey, Shanshan Jiang, Xiaoxi Chen, Jaroslaw B. Cwikla, Artur Sankowski, Yaping Wu, Sergio Decherchi, Andrea Cavalli, Chandana Lall, Cristian Tomasetti, Yaxing Guo, Xuan Yu, Yuqing Cai, Hualin Qiao, Jie Bao, Chenhan Hu, Ximing Wang, Arkadiusz Sitek, Kai Ding, Heng Li, Meiyun Wang, Dexin Yu, Guang Zhang, Yang Yang, Kang Wang, Alan L. Yuille, Zongwei Zhou
2025	J	`jnl`	Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment. CoRR Pawel Renc, Michal K. Grzeszczyk, Linglong Qian, Nassim Oufattole, Jeff Rasley, Arkadiusz Sitek
2025	J	`jnl`	Foundation Model of Electronic Medical Records for Adaptive Risk Estimation. CoRR Pawel Renc, Michal K. Grzeszczyk, Nassim Oufattole, Deirdre Goode, Yugang Jia, Szymon Bieganski, Matthew B. A. McDermott, Jaroslaw Was, Anthony E. Samir, Jonathan W. Cunningham, David W. Bates, Arkadiusz Sitek
2025	—	`conf`	GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation. MICCAI (2) Tomasz Szczepanski, Szymon Plotka, Michal K. Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
2025	J	`jnl`	Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation. CoRR Szymon Plotka, Maciej Chrabaszcz, Gizem Mert, Ewa Szczurek, Arkadiusz Sitek
2025	J	`jnl`	Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. IEEE Trans. Medical Imaging Kelly Payette, Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Bran Li, Matthew J. Barkovich, Liu Li, Maik Dannecker, Chen Chen, Cheng Ouyang, Niccolò McConnell, Alina Dana Miron, Yongmin Li, Alena Uus, Irina Grigorescu, Paula Ramirez Gilliland, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Haoyu Wang, Ziyan Huang, Jin Ye, Mireia Alenyà, Valentin Comte, Oscar Camara, Jean-Baptiste Masson, Astrid Nilsson, Charlotte Godard, Moona Mazher, Abdul Qayyum, Yibo Gao, Hangqi Zhou, Shangqi Gao, Jia Fu, Guiming Dong, Guotai Wang, ZunHyan Rieu, HyeonSik Yang, Minwoo Lee, Szymon Plotka, Michal K. Grzeszczyk, Arkadiusz Sitek, Luisa Vargas Daza, Santiago Usma, Pablo Arbeláez, Wenying Lu, Wenhao Zhang, Jing Liang, Romain Valabrègue, Anand A. Joshi, Krishna N. Nayak, Richard M. Leahy, Luca Wilhelmi, Aline Dändliker, Hui Ji, Antonio G. Gennari, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Gregor Kasprian, Gregor Dovjak, Milan Rados, Lana Vasung, Meritxell Bach Cuadra, András Jakab
2025	J	`jnl`	Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome. Medical Image Anal. 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
2025	—	`conf`	RegScore: Scoring Systems for Regression Tasks. MICCAI (14) Michal K. Grzeszczyk, Tomasz Szczepanski, Pawel Renc, Siyeop Yoon, Jerome Charton, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? CoRR Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska
2024	—	`conf`	Let Me DeCode You: Decoder Conditioning with Tabular Data. MICCAI (3) Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	Let Me DeCode You: Decoder Conditioning with Tabular Data. CoRR Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
2024	A	`conf`	MISS: Multiclass Interpretable Scoring Systems. SDM Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	MISS: Multiclass Interpretable Scoring Systems. CoRR Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. Medical Image Anal. 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
2024	—	`conf`	TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. MICCAI (5) Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. CoRR Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	Zero Shot Health Trajectory Prediction Using Transformer. CoRR Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek
2024	J	`jnl`	Zero shot health trajectory prediction using transformer. npj Digit. Medicine Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek
2023	J	`jnl`	BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. Comput. Biol. Medicine Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Ivana Isgum, Clara I. Sánchez, Arkadiusz Sitek
2023	J	`jnl`	Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load. CoRR Michal K. Grzeszczyk, Paulina Adamczyk, Sylwia Marek, Ryszard Precikowski, Maciej Kus, M. Patrycja Lelujko, Rosmary Blanco, Tomasz Trzcinski, Arkadiusz Sitek, Maciej Malawski, Aneta Lisowska
2023	—	`conf`	Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? MobileHCI (Companion) Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska
2023	B	`conf`	Deformable registration of 3D CT images with partial liver. Image Processing Giovanni Palma, Greg Padiasek, Arkadiusz Sitek, Paul Dufort, Pedro L. Esquinas, Marc-Michel Rohé
2023	—	`conf`	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation. ICCS (3) Magdalena Dul, Michal K. Grzeszczyk, Ewelina Nojszewska, Arkadiusz Sitek
2023	J	`jnl`	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. CoRR Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek
2023	—	`conf`	TabAttention: Learning Attention Conditionally on Tabular Data. MICCAI (7) Michal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
2022	—	`conf`	A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. GECCO Companion Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost B. Wagenaar
2022	—	`conf`	BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. MICCAI (4) Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
2022	J	`jnl`	BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. CoRR Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
2022	B	`conf`	Context in medical imaging: the case of focal liver lesion classification. Image Processing Moshe Raboh, Dana Levanony, Paul Dufort, Arkadiusz Sitek
2022	J	`jnl`	Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements. CoRR Szymon Plotka, Adam Klasa, Aneta Lisowska, Joanna Seliga-Siwecka, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
2022	—	`conf`	Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model. ICCS (3) Arkadiusz Pajor, Jakub Zolnierek, Bartlomiej Sniezynski, Arkadiusz Sitek
2022	—	`conf`	Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen. ISBI Pedro L. Esquinas, Yen-Fu Luo, Parisa Farzam, Tyler Baldwin, Moshe Raboh, Thomas Binder, Arkadiusz Sitek, Omid Sakhi, Yi-Qing Wang, Sameer Suman, Giovanni Palma, Paul Dufort, Ben Graf
2022	J	`jnl`	FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. CoRR 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
2022	—	`conf`	Multi-institutional evaluation of a deep learning model for fully automated detection of aortic aneurysms in contrast and non-contrast CT. Computer-Aided Diagnosis Yiting Xie, Benedikt Graf, Parisa Farzam, Brian Baker, Christine Lamoureux, Arkadiusz Sitek
2022	—	`conf`	Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. STACOM@MICCAI Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek
2022	J	`jnl`	Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. CoRR Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek
2022	—	`conf`	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. ICCS (3) Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek
2022	—	`conf`	POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection. ICCS (1) Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka
2022	J	`jnl`	POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection. CoRR Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka
2022	A	`conf`	Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. IROS Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek
2022	J	`jnl`	Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. CoRR Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek
2021	J	`jnl`	Artificial Intelligence in PET: an Industry Perspective. CoRR Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans
2021	—	`conf`	FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements. ICONIP (6) Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski
2021	J	`jnl`	FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements. CoRR Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski
2020	J	`jnl`	Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks. IEEE J. Biomed. Health Informatics Jun Ying, Joyita Dutta, Ning Guo, Chenhui Hu, Dan Zhou, Arkadiusz Sitek, Quanzheng Li
2020	—	`conf`	Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images. ISBI Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
2020	J	`jnl`	Deep Learning based detection of Acute Aortic Syndrome in contrast CT images. CoRR Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
2020	J	`jnl`	Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax. CoRR Benedikt Graf, Arkadiusz Sitek, Amin Katouzian, Yen-Fu Lu, Arun Krishnan, Justin Rafael, Kirstin Small, Yiting Xie
2019	J	`jnl`	Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment. CoRR Skylar W. Wurster, Arkadiusz Sitek, Jian Chen, Karla K. Evans, Gaeun Kim, Jeremy M. Wolfe
2017	—	`conf`	Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. MLMI@MICCAI Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
2017	J	`jnl`	Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. CoRR Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
2016	Misc	`conf`	Gold classification of COPDGene cohort based on deep learning. ICASSP Jun Ying, Joyita Dutta, Ning Guo, Lei Xia, Arkadiusz Sitek, Quanzheng Li
2013	J	`jnl`	Evaluation of Imaging Systems Using the Posterior Variance of Emission Counts. IEEE Trans. Medical Imaging Arkadiusz Sitek, Stephen C. Moore
2011	—	`conf`	New statistical reconstruction method for emission tomography. ISBI Arkadiusz Sitek
2011	J	`jnl`	Reconstruction of Emission Tomography Data Using Origin Ensembles. IEEE Trans. Medical Imaging Arkadiusz Sitek
2006	J	`jnl`	Tomographic reconstruction using an adaptive tetrahedral mesh defined by a point cloud. IEEE Trans. Medical Imaging Arkadiusz Sitek, Ronald H. Huesman, Grant T. Gullberg
2002	J	`jnl`	Correction for ambiguous solutions in factor analysis using a penalized least squares objective. IEEE Trans. Medical Imaging Arkadiusz Sitek, Grant T. Gullberg, Ronald H. Huesman
2001	—	`conf`	Time Curve Analysis Techniques for Dynamic Contrast MRI Studies. IPMI Edward V. R. Di Bella, Arkadiusz Sitek
1999	—	`conf`	Reconstruction from Slow Rotation Dynamic SPECT Using a Factor Model. IPMI Arkadiusz Sitek, Edward V. R. Di Bella, Grant T. Gullberg