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

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

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"

7 / 7 papers shown

Title
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements Szymon Płotka Adam Klasa Aneta Lisowska Joanna Seliga-Siwecka M. Lipa Tomasz Trzciñski Arkadiusz Sitek 51 35 0 27 May 2022
Rethinking and Improving Relative Position Encoding for Vision Transformer Kan Wu Houwen Peng Minghao Chen Jianlong Fu Hongyang Chao ViT 88 338 0 29 Jul 2021
ViViT: A Video Vision Transformer Anurag Arnab Mostafa Dehghani G. Heigold Chen Sun Mario Lucic Cordelia Schmid ViT 225 2,167 0 29 Mar 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases Stéphane dÁscoli Hugo Touvron Matthew L. Leavitt Ari S. Morcos Giulio Biroli Levent Sagun ViT 131 833 0 19 Mar 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Nayeon Lee Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 360 994 0 27 Jan 2021
Self-Attention with Relative Position Representations Peter Shaw Jakob Uszkoreit Ashish Vaswani 179 2,296 0 06 Mar 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 568 8,005 0 13 Jun 2015