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Michal Lipa
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2020 – today
- 2023
- [j1]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) - [c5]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 - 2022
- [c4]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 - [i5]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) - [i4]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) - 2021
- [c3]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 - [i3]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
- [c2]Tomasz Wlodarczyk, Szymon Plotka
, Przemyslaw Rokita
, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski:
Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks. ASMUS/PIPPI@MICCAI 2020: 274-283 - [i2]Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski:
Spontaneous preterm birth prediction using convolutional neural networks. CoRR abs/2008.07000 (2020)
2010 – 2019
- 2019
- [c1]Tomasz Wlodarczyk, Szymon Plotka
, Tomasz Trzcinski, Przemyslaw Rokita
, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki:
Estimation of Preterm Birth Markers with U-Net Segmentation Network. SUSI/PIPPI@MICCAI 2019: 95-103 - [i1]Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki:
Estimation of preterm birth markers with U-Net segmentation network. CoRR abs/1908.09148 (2019)
Coauthor Index
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