Topology-Aware Focal Loss for 3D Image Segmentation

24 April 2023

Papers citing "Topology-Aware Focal Loss for 3D Image Segmentation"

9 / 9 papers shown

Title
Harmonic Loss Trains Interpretable AI Models David D. Baek Ziming Liu Riya Tyagi Max Tegmark 97 2 0 03 Feb 2025
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation Mehmet Bahadir Erden S. Unver I. A. Gurses R. Turkay C. Gunduz-Demir 36 0 0 15 Aug 2024
Train-Free Segmentation in MRI with Cubical Persistent Homology Anton François Raphael Tinarrage 3DV 28 1 0 02 Jan 2024
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook Reza Azad Moein Heidary Kadir Yilmaz Michael Huttemann Sanaz Karimijafarbigloo Yuli Wu Anke Schmeink Dorit Merhof VLM SSeg 39 17 0 08 Dec 2023
Tumor-Centered Patching for Enhanced Medical Image Segmentation Mutyyba Asghar A. R. Shahid Akhtar Jamil K. Aftab S. Enam 19 1 0 23 Aug 2023
Topological Parallax: A Geometric Specification for Deep Perception Models Abraham Smith Michael J. Catanzaro Gabrielle Angeloro Nirav Patel Paul Bendich 16 1 0 20 Jun 2023
Optimized U-Net for Brain Tumor Segmentation Michal Futrega Alexandre Milesi Michal Marcinkiewicz Pablo Ribalta SSeg 32 91 0 07 Oct 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015
Statistical topological data analysis using persistence landscapes Peter Bubenik 112 846 0 27 Jul 2012