Arkadiusz Sitek

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 40

Top Topics

Comparative Study

Monte Carlo Simulation

Top Venues

Medical Imaging: Image Processing

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)
Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek
Zero Shot Health Trajectory Prediction Using Transformer. CoRR (2024)
Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
MISS: Multiclass Interpretable Scoring Systems. CoRR (2024)
Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska
Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? 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)
Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
MISS: Multiclass Interpretable Scoring Systems. SDM (2024)
Giovanni Palma, Greg Padiasek, Arkadiusz Sitek, Paul Dufort, Pedro L. Esquinas, Marc-Michel Rohé
Deformable registration of 3D CT images with partial liver. Medical Imaging: Image Processing (2023)
Michal K. Grzeszczyk, Paulina Adamczyk, Sylwia Marek, Ryszard Precikowski, Maciej Kus, M. Patrycja Lelujko, Rosmary Blanco, Tomasz Trzcinski, Arkadiusz Sitek, Maciej Malawski, Aneta Lisowska
Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load. CoRR (2023)
Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska
Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? MobileHCI (Companion) (2023)
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, Tadeusz Satlawa, Angela Lungu, Andrew Swift, Andrew J. Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. CoRR (2023)
Magdalena Dul, Michal K. Grzeszczyk, Ewelina Nojszewska, Arkadiusz Sitek
Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation. ICCS (3) (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)
Arkadiusz Pajor, Jakub Zolnierek, Bartlomiej Sniezynski, Arkadiusz Sitek
Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model. ICCS (3) (2022)
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)
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
Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen. ISBI (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)
Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost Wagenaar
A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. GECCO Companion (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)
Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. ICCS (3) (2022)
Moshe Raboh, Dana Levanony, Paul Dufort, Arkadiusz Sitek
Context in medical imaging: the case of focal liver lesion classification. Medical Imaging: Image Processing (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)
Yiting Xie, Benedikt Graf, Parisa Farzam, Brian Baker, Christine Lamoureux, Arkadiusz Sitek
Multi-institutional evaluation of a deep learning model for fully automated detection of aortic aneurysms in contrast and non-contrast CT. Medical Imaging: Computer-Aided Diagnosis (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)
Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans
Artificial Intelligence in PET: an Industry Perspective. 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)
Jun Ying, Joyita Dutta, Ning Guo, Chenhui Hu, Dan Zhou, Arkadiusz Sitek, Quanzheng Li
Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks. IEEE J. Biomed. Health Informatics 24 (6) (2020)
Benedikt Graf, Arkadiusz Sitek, Amin Katouzian, Yen-Fu Lu, Arun Krishnan, Justin Rafael, Kirstin Small, Yiting Xie
Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax. CoRR (2020)
Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images. CoRR (2020)
Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images. ISBI (2020)
Skylar W. Wurster, Arkadiusz Sitek, Jian Chen, Karla K. Evans, Gaeun Kim, Jeremy M. Wolfe
Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment. CoRR (2019)
Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. CoRR (2017)
Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. MLMI@MICCAI (2017)
Jun Ying, Joyita Dutta, Ning Guo, Lei Xia, Arkadiusz Sitek, Quanzheng Li
Gold classification of COPDGene cohort based on deep learning. ICASSP (2016)
Arkadiusz Sitek, Stephen C. Moore
Evaluation of Imaging Systems Using the Posterior Variance of Emission Counts. IEEE Trans. Medical Imaging 32 (10) (2013)
Arkadiusz Sitek
Reconstruction of Emission Tomography Data Using Origin Ensembles. IEEE Trans. Medical Imaging 30 (4) (2011)
Arkadiusz Sitek
New statistical reconstruction method for emission tomography. ISBI (2011)
Arkadiusz Sitek, Ronald H. Huesman, Grant T. Gullberg
Tomographic reconstruction using an adaptive tetrahedral mesh defined by a point cloud. IEEE Trans. Medical Imaging 25 (9) (2006)
Arkadiusz Sitek, Grant T. Gullberg, Ronald H. Huesman
Correction for ambiguous solutions in factor analysis using a penalized least squares objective. IEEE Trans. Medical Imaging 21 (3) (2002)
Edward V. R. Di Bella, Arkadiusz Sitek
Time Curve Analysis Techniques for Dynamic Contrast MRI Studies. IPMI (2001)
Arkadiusz Sitek, Edward V. R. Di Bella, Grant T. Gullberg
Reconstruction from Slow Rotation Dynamic SPECT Using a Factor Model. IPMI (1999)