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BabyNet: Residual Transformer Module for Birth Weight Prediction on
Fetal Ultrasound Video

v1v2 (latest)

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

19 May 2022

Szymon Płotka

Michal K. Grzeszczyk

R. Brawura-Biskupski-Samaha

Tomasz Trzciñski

Arkadiusz Sitek

ArXiv (abs)PDF HTML Github (14★)

Papers citing "BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video"

2 / 2 papers shown

MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome

MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner SyndromeBiomedical Signal Processing and Control (BSPC), 2024

344

0

0

07 Jun 2024

Multi-task Swin Transformer for Motion Artifacts Classification and
Cardiac Magnetic Resonance Image Segmentation

Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation

Michal K. Grzeszczyk

Szymon Płotka

Arkadiusz Sitek

95

5

0

06 Sep 2022