Deep learning and its application to medical image segmentation

Deep learning and its application to medical image segmentation

23 March 2018

Papers citing "Deep learning and its application to medical image segmentation"

8 / 8 papers shown

Title
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation B. K. Das Ajay Singh Gengyan Zhao Han Liu Thomas J. Re D. Comaniciu Eli Gibson Andreas K. Maier ViT MedIm 26 0 0 13 May 2025
Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging B. K. Das Gengyan Zhao Han Liu Thomas J. Re D. Comaniciu Eli Gibson Andreas K. Maier ViT MedIm 55 1 0 15 Jan 2025
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery Lianhao Yin Yutong Ban J. Eckhoff O. Meireles Daniela Rus Guy Rosman 39 1 0 03 Feb 2024
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 33 83 0 19 Aug 2021
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Chenglong Wang H. Roth T. Kitasaka M. Oda Y. Hayashi Y. Yoshino Tokunori Yamamoto N. Sassa M. Goto K. Mori 14 19 0 05 Aug 2019
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks Davood Karimi Septimiu E. Salcudean MedIm 26 391 0 22 Apr 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 8 200 0 15 Feb 2019
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos A. P. Twinanda S. Shehata Didier Mutter J. Marescaux M. de Mathelin N. Padoy 170 840 0 09 Feb 2016