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2020 – today
- 2025
[j9]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:
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome. Medical Image Anal. 99: 103330 (2025)- 2024
- [j8]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: 103066 (2024) - [j7]Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek:
Zero shot health trajectory prediction using transformer. npj Digit. Medicine 7(1) (2024) - [c24]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. MICCAI (3) 2024: 228-238 - [c23]Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek:
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. MICCAI (5) 2024: 670-680 - [c22]Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek:
MISS: Multiclass Interpretable Scoring Systems. SDM 2024: 55-63 - [i19]Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek:
MISS: Multiclass Interpretable Scoring Systems. CoRR abs/2401.05069 (2024) - [i18]Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska:
Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? CoRR abs/2401.05408 (2024) - [i17]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 abs/2407.09437 (2024) - [i16]Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek:
Zero Shot Health Trajectory Prediction Using Transformer. CoRR abs/2407.21124 (2024) - [i15]Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek:
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. CoRR abs/2409.07564 (2024) - 2023
- [j6]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: 107602 (2023) - [c21]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: 138-152 - [c20]Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska:
Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? MobileHCI (Companion) 2023: 3:1-3:6 - [c19]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: 347-357 - [c18]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 - [i14]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 abs/2302.03616 (2023) - [i13]Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. 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 abs/2312.14221 (2023) - 2022
- [c17]Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost B. Wagenaar:
A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. GECCO Companion 2022: 276-279 - [c16]Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. 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: 14-27 - [c15]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: 92-105 - [c14]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: 441-454 - [c13]Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek:
Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. IROS 2022: 401-406 - [c12]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: 1-5 - [c11]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 - [c10]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: 350-359 - [c9]Moshe Raboh, Dana Levanony, Paul Dufort, Arkadiusz Sitek:
Context in medical imaging: the case of focal liver lesion classification. Medical Imaging: Image Processing 2022 - [c8]Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek:
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. STACOM@MICCAI 2022: 409-417 - [i12]Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka:
POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection. CoRR abs/2201.09360 (2022) - [i11]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 abs/2205.09382 (2022) - [i10]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 abs/2205.13835 (2022) - [i9]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 abs/2206.12512 (2022) - [i8]Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek:
Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. CoRR abs/2208.00169 (2022) - [i7]Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek:
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. CoRR abs/2209.02470 (2022) - 2021
- [c7]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: 257-265 - [i6]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 abs/2107.06747 (2021) - [i5]Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski:
FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements. CoRR abs/2107.06943 (2021) - 2020
- [j5]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): 1805-1813 (2020) - [c6]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: 1474-1477 - [i4]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 abs/2004.01648 (2020) - [i3]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 abs/2011.07353 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1912.05470 (2019) - 2017
- [c5]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: 212-219 - [i1]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 abs/1707.06145 (2017) - 2016
- [c4]Jun Ying, Joyita Dutta, Ning Guo, Lei Xia, Arkadiusz Sitek, Quanzheng Li:
Gold classification of COPDGene cohort based on deep learning. ICASSP 2016: 2474-2478 - 2013
- [j4]Arkadiusz Sitek, Stephen C. Moore:
Evaluation of Imaging Systems Using the Posterior Variance of Emission Counts. IEEE Trans. Medical Imaging 32(10): 1829-1839 (2013) - 2011
- [j3]Arkadiusz Sitek:
Reconstruction of Emission Tomography Data Using Origin Ensembles. IEEE Trans. Medical Imaging 30(4): 946-956 (2011) - [c3]Arkadiusz Sitek:
New statistical reconstruction method for emission tomography. ISBI 2011: 1138-1141
2000 – 2009
- 2006
- [j2]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): 1172-1179 (2006) - 2002
- [j1]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): 216-225 (2002) - 2001
- [c2]Edward V. R. Di Bella, Arkadiusz Sitek:
Time Curve Analysis Techniques for Dynamic Contrast MRI Studies. IPMI 2001: 211-217
1990 – 1999
- 1999
- [c1]Arkadiusz Sitek, Edward V. R. Di Bella, Grant T. Gullberg:
Reconstruction from Slow Rotation Dynamic SPECT Using a Factor Model. IPMI 1999: 436-441
Coauthor Index
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