Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud

23 May 2023

Papers citing "Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud"

8 / 8 papers shown

Title
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Krithika S. Iyer Mokshagna Sai Teja Karanam Shireen Elhabian 64 0 0 11 Feb 2025
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach Jadie Adams Shireen Elhabian 76 19 0 13 May 2022
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 35 32 0 16 Oct 2021
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models Riddhish Bhalodia Shireen Elhabian Jadie Adams Wenzheng Tao L. Kavan R. Whitaker MedIm 79 24 0 14 Oct 2021
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control Tomas Jakab Richard Tucker A. Makadia Jiajun Wu Noah Snavely Angjoo Kanazawa 3DPC 58 56 0 22 Apr 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng Y. Qian Zhiyu Zhu Junhui Hou Hui Yuan Ying He 3DPC 100 66 0 31 Dec 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence Feng Liu Xiaoming Liu 3DPC 33 36 0 23 Oct 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,047 0 02 Dec 2016