Arkadiusz Sitek - researchr alias

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Viewing Publication 1 - 28 from 28

2024

2023

Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo SimulationMagdalena Dul, Michal K. Grzeszczyk, Ewelina Nojszewska, Arkadiusz Sitek. iccs 2023: 138-152 [doi]

Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings?Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska. mhci 2023: [doi]

TabAttention: Learning Attention Conditionally on Tabular DataMichal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek. miccai 2023: 347-357 [doi]

Deformable registration of 3D CT images with partial liverGiovanni Palma, Greg Padiasek, Arkadiusz Sitek, Paul Dufort, Pedro L. Esquinas, Marc-Michel Rohé. miip 2023: [doi]

BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before deliverySzymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Ivana Isgum, Clara I. Sánchez, Arkadiusz Sitek. cbm, 167:107602, December 2023. [doi]

2022

Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The AbdomenPedro 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. isbi 2022: 1-5 [doi]

Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image SegmentationMichal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek. stacom-ws 2022: 409-417 [doi]

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine LearningMichal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek. iccs 2022: 14-27 [doi]

Virtual Reality Simulator for Fetoscopic Spina Bifida Repair SurgeryPrzemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek. iros 2022: 401-406 [doi]

A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmarkPatryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost Wagenaar. gecco 2022: 276-279 [doi]

Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning ModelArkadiusz Pajor, Jakub Zolnierek, Bartlomiej Sniezynski, Arkadiusz Sitek. iccs 2022: 92-105 [doi]

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound VideoSzymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek. miccai 2022: 350-359 [doi]

Context in medical imaging: the case of focal liver lesion classificationMoshe Raboh, Dana Levanony, Paul Dufort, Arkadiusz Sitek. miip 2022: [doi]

POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 DetectionTomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka. iccs 2022: 441-454 [doi]

Multi-institutional evaluation of a deep learning model for fully automated detection of aortic aneurysms in contrast and non-contrast CTYiting Xie, Benedikt Graf, Parisa Farzam, Brian Baker, Christine Lamoureux, Arkadiusz Sitek. micad 2022: [doi]

2021

FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric MeasurementsSzymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski. iconip 2021: 257-265 [doi]

2020

Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT ImagesManikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek. isbi 2020: 1474-1477 [doi]

Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief NetworksJun Ying, Joyita Dutta, Ning Guo, Chenhui Hu, Dan Zhou, Arkadiusz Sitek, Quanzheng Li. titb, 24(6):1805-1813, 2020. [doi]

2017

Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging AnalysisXiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li. miccai 2017: 212-219 [doi]

2016

Gold classification of COPDGene cohort based on deep learningJun Ying, Joyita Dutta, Ning Guo, Lei Xia, Arkadiusz Sitek, Quanzheng Li, Quanzheng Li. icassp 2016: 2474-2478 [doi]

2013

Evaluation of Imaging Systems Using the Posterior Variance of Emission CountsArkadiusz Sitek, Stephen C. Moore. tmi, 32(10):1829-1839, 2013. [doi]

2011

New statistical reconstruction method for emission tomographyArkadiusz Sitek. isbi 2011: 1138-1141 [doi]

Reconstruction of Emission Tomography Data Using Origin EnsemblesArkadiusz Sitek. tmi, 30(4):946-956, 2011. [doi]

2006

Tomographic reconstruction using an adaptive tetrahedral mesh defined by a point cloudArkadiusz Sitek, Ronald H. Huesman, Grant T. Gullberg. tmi, 25(9):1172-1179, 2006. [doi]

2002

Correction for ambiguous solutions in factor analysis using a penalized least squares objectiveArkadiusz Sitek, Grant T. Gullberg, Ronald H. Huesman. tmi, 21(3):216-225, 2002.

2001

Time Curve Analysis Techniques for Dynamic Contrast MRI StudiesEdward V. R. Di Bella, Arkadiusz Sitek. ipmi 2001: 211-217 [doi]

1999

Reconstruction from Slow Rotation Dynamic SPECT Using a Factor ModelArkadiusz Sitek, Edward V. R. Di Bella, Grant T. Gullberg. ipmi 1999: 436-441 [doi]

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1999

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