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Topology-Aware Uncertainty for Image Segmentation

Topology-Aware Uncertainty for Image Segmentation

9 June 2023
Saumya Gupta
Yikai Zhang
Xiaoling Hu
Prateek Prasanna
Chao Chen
ArXivPDFHTML

Papers citing "Topology-Aware Uncertainty for Image Segmentation"

22 / 22 papers shown
Title
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy
Juan Miguel Valverde
Motoya Koga
Nijihiko Otsuka
Anders Bjorholm Dahl
28
0
0
05 Mar 2025
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures
Yousef Yeganeh
Rui Xiao
Goktug Guvercin
Nassir Navab
Azade Farshad
MedIm
40
0
0
31 Dec 2024
TopoDiffusionNet: A Topology-aware Diffusion Model
TopoDiffusionNet: A Topology-aware Diffusion Model
Saumya Gupta
Dimitris Samaras
C. L. P. Chen
DiffM
20
4
0
22 Oct 2024
Spatial Diffusion for Cell Layout Generation
Spatial Diffusion for Cell Layout Generation
Chen Li
Xiaoling Hu
Shahira Abousamra
Meilong Xu
Chao Chen
MedIm
24
3
0
04 Sep 2024
Representing Topological Self-Similarity Using Fractal Feature Maps for
  Accurate Segmentation of Tubular Structures
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures
Jiaxing Huang
Yanfeng Zhou
Yaoru Luo
Guole Liu
Heng Guo
Ge Yang
MedIm
21
6
0
20 Jul 2024
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
I. Trofimov
Daria Voronkova
Eduard Tulchinskii
Evgeny Burnaev
Serguei Barannikov
22
0
0
11 Jul 2024
Efficient Betti Matching Enables Topology-Aware 3D Segmentation via
  Persistent Homology
Efficient Betti Matching Enables Topology-Aware 3D Segmentation via Persistent Homology
Nico Stucki
Vincent Bürgin
Johannes C. Paetzold
Ulrich Bauer
3DV
24
1
0
05 Jul 2024
Centerline Boundary Dice Loss for Vascular Segmentation
Centerline Boundary Dice Loss for Vascular Segmentation
Pengcheng Shi
Jiesi Hu
Yanwu Yang
Zilve Gao
Wei Liu
Ting Ma
24
8
0
01 Jul 2024
Neurovascular Segmentation in sOCT with Deep Learning and Synthetic
  Training Data
Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data
Etienne Chollet
Yael Balbastre
Chiara Mauri
C. Magnain
Bruce Fischl
Hui Wang
23
0
0
01 Jul 2024
A New Approach for Evaluating and Improving the Performance of
  Segmentation Algorithms on Hard-to-Detect Blood Vessels
A New Approach for Evaluating and Improving the Performance of Segmentation Algorithms on Hard-to-Detect Blood Vessels
Joao Pedro Parella
Matheus V. da Silva
C. H. Comin
32
0
0
19 Jun 2024
Scale-Free Image Keypoints Using Differentiable Persistent Homology
Scale-Free Image Keypoints Using Differentiable Persistent Homology
Giovanni Barbarani
Francesco Vaccarino
Gabriele Trivigno
Marco Guerra
Gabriele Berton
Carlo Masone
26
0
0
03 Jun 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
40
8
0
11 Mar 2024
Position: Topological Deep Learning is the New Frontier for Relational
  Learning
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou
Tolga Birdal
Michael M. Bronstein
Gunnar Carlsson
Justin Curry
...
Petar Velickovic
Bei Wang
Yusu Wang
Guo-Wei Wei
Ghada Zamzmi
AI4CE
42
25
0
14 Feb 2024
Semi-supervised Segmentation of Histopathology Images with Noise-Aware
  Topological Consistency
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
Meilong Xu
Xiaoling Hu
Saumya Gupta
Shahira Abousamra
Chao Chen
19
6
0
28 Nov 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Chen Li
Xiaoling Hu
Shahira Abousamra
Chao Chen
15
20
0
19 Aug 2023
Segment Anything Model for Medical Images?
Segment Anything Model for Medical Images?
Yuhao Huang
Yitian Zhao
Lei Mou
H. Fu
Ao Chang
...
Lei Li
Vicente Grau
M. Akiba
Fajin Dong
Jiang-Dong Liu
VLM
75
29
0
28 Apr 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain
  Tumor Segmentation
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
Aishik Konwer
Xiaoling Hu
Joseph Bae
Xuanang Xu
Chaoyu Chen
Prateek Prasanna
8
16
0
08 Feb 2023
Learning Topological Interactions for Multi-Class Medical Image
  Segmentation
Learning Topological Interactions for Multi-Class Medical Image Segmentation
Saumya Gupta
Xiaoling Hu
James H. Kaan
Michael Jin
M. Mpoy
...
Tahsin M. Kurc
Joel H. Saltz
A. Tassiopoulos
Prateek Prasanna
Chao Chen
8
42
0
20 Jul 2022
Learning Probabilistic Topological Representations Using Discrete Morse
  Theory
Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu
Dimitris Samaras
Chao Chen
13
20
0
03 Jun 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
741
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1