Learning Probabilistic Topological Representations Using Discrete Morse
Theory

Learning Probabilistic Topological Representations Using Discrete Morse Theory

3 June 2022

Xiaoling Hu

Dimitris Samaras

Papers citing "Learning Probabilistic Topological Representations Using Discrete Morse Theory"

18 / 18 papers shown

Title
Topology-Aware CLIP Few-Shot Learning Dazhi Huang VLM 21 0 0 03 May 2025
Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation Juan Miguel Valverde Maja Østergaard Adrian Rodriguez-Palomo Peter Alling Strange Vibe Nina Kølln Wittig Henrik Birkedal Anders Bjorholm Dahl 29 0 0 07 Mar 2025
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy Juan Miguel Valverde Motoya Koga Nijihiko Otsuka Anders Bjorholm Dahl 26 0 0 05 Mar 2025
TopoDiffusionNet: A Topology-aware Diffusion Model Saumya Gupta Dimitris Samaras C. L. P. Chen DiffM 18 4 0 22 Oct 2024
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images Jiyoung Park Günay Doğan UQCV 13 0 0 17 Oct 2024
Hard Negative Sample Mining for Whole Slide Image Classification Wentao Huang Xiaoling Hu Shahira Abousamra Prateek Prasanna Chao Chen VLM 31 5 0 03 Oct 2024
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis Liu Li Hanchun Wang Matthew Baugh Qiang Ma Weitong Zhang Cheng Ouyang Daniel Rueckert Bernhard Kainz MedIm 25 0 0 15 Sep 2024
Spatial Diffusion for Cell Layout Generation Chen Li Xiaoling Hu Shahira Abousamra Meilong Xu Chao Chen MedIm 24 3 0 04 Sep 2024
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
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
Learning Topological Representations for Deep Image Understanding Xiaoling Hu 16 2 0 22 Mar 2024
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 Chen Li Xiaoling Hu Shahira Abousamra Chao Chen 15 20 0 19 Aug 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 18 27 0 09 Jun 2023
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 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
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015