Arkadiusz Sitek

Orcid: 0000-0002-0677-4002

According to our database1, Arkadiusz Sitek authored at least 36 papers between 1999 and 2024.

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Bibliography

2024
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings.
Medical Image Anal., February, 2024

MISS: Multiclass Interpretable Scoring Systems.
CoRR, 2024

2023
BabyNet++: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery.
Comput. Biol. Medicine, December, 2023

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning.
CoRR, 2023

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

Deformable registration of 3D CT images with partial liver.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

TabAttention: Learning Attention Conditionally on Tabular Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings?
Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023

Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.
CoRR, 2022

Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements.
CoRR, 2022

Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Context in medical imaging: the case of focal liver lesion classification.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-institutional evaluation of a deep learning model for fully automated detection of aortic aneurysms in contrast and non-contrast CT.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection.
Proceedings of the Computational Science - ICCS 2022, 2022

Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model.
Proceedings of the Computational Science - ICCS 2022, 2022

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning.
Proceedings of the Computational Science - ICCS 2022, 2022

A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Artificial Intelligence in PET: an Industry Perspective.
CoRR, 2021

FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks.
IEEE J. Biomed. Health Informatics, 2020

Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax.
CoRR, 2020

Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment.
CoRR, 2019

2017
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016
Gold classification of COPDGene cohort based on deep learning.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2013
Evaluation of Imaging Systems Using the Posterior Variance of Emission Counts.
IEEE Trans. Medical Imaging, 2013

2011
Reconstruction of Emission Tomography Data Using Origin Ensembles.
IEEE Trans. Medical Imaging, 2011

New statistical reconstruction method for emission tomography.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2006
Tomographic reconstruction using an adaptive tetrahedral mesh defined by a point cloud.
IEEE Trans. Medical Imaging, 2006

2002
Correction for ambiguous solutions in factor analysis using a penalized least squares objective.
IEEE Trans. Medical Imaging, 2002

2001
Time Curve Analysis Techniques for Dynamic Contrast MRI Studies.
Proceedings of the Information Processing in Medical Imaging, 2001

1999
Reconstruction from Slow Rotation Dynamic SPECT Using a Factor Model.
Proceedings of the Information Processing in Medical Imaging, 1999


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