Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence

14 June 2020

Guy Wolf

Nicholas Turk-Browne

Smita Krishnaswamy

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Papers citing "Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence"

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Title
Topology-Aware CLIP Few-Shot Learning Dazhi Huang VLM 47 0 0 03 May 2025
Persistent Homology-induced Graph Ensembles for Time Series Regressions Viet The Nguyen Duy Anh Pham An Thai Le Jans Peter Gunther Gust AI4TS 68 0 0 18 Mar 2025
Using Graph Convolutional Networks to Address fMRI Small Data Problems Thomas Screven Andras Necz J. Smucny Ian Davidson GNN MedIm 38 1 0 19 Feb 2025
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Yousef Yeganeh Rui Xiao Goktug Guvercin Nassir Navab Azade Farshad MedIm 50 0 0 31 Dec 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 238 0 0 21 Sep 2024
Neural Persistence Dynamics Sebastian Zeng Florian Graf Martin Uray Stefan Huber Roland Kwitt 38 0 0 24 May 2024
Deep Regression Representation Learning with Topology Shihao Zhang Kenji Kawaguchi Angela Yao 35 1 0 22 Apr 2024
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 62 26 0 14 Feb 2024
BLIS-Net: Classifying and Analyzing Signals on Graphs Charles Xu Laney Goldman Valentina Guo Benjamin Hollander-Bodie Maedee Trank-Greene Ian M. Adelstein E. Brouwer Rex Ying Smita Krishnaswamy Michael Perlmutter 24 1 0 26 Oct 2023
Pool-Based Active Learning with Proper Topological Regions Lies Hadjadj Emilie Devijver Rémi Molinier Massih-Reza Amini 14 0 0 02 Oct 2023
Differentially Private Topological Data Analysis Taegyu Kang Sehwan Kim Jinwon Sohn Jordan Awan 26 3 0 05 May 2023
Topology-Aware Focal Loss for 3D Image Segmentation Andac Demir Elie Massaad B. Kiziltan 36 8 0 24 Apr 2023
Euler Characteristic Tools For Topological Data Analysis Olympio Hacquard Vadim Lebovici 33 9 0 24 Mar 2023
Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices K. Nadimpalli A. Chattopadhyay Bastian Rieck 62 8 0 08 Mar 2023
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction Dominik Jens Elias Waibel S. Atwell Matthias Meier Carsten Marr Bastian Rieck 3DPC 13 17 0 03 Mar 2022
Learning shared neural manifolds from multi-subject FMRI data Je-chun Huang E. L. Busch Tom Wallenstein Michał Gerasimiuk Andrew Benz Guillaume Lajoie Guy Wolf Nicholas B. Turk-Browne Smita Krishnaswamy 35 17 0 22 Dec 2021
The magnitude vector of images Michael F. Adamer E. Brouwer Leslie O’Bray Bastian Rieck 22 4 0 28 Oct 2021
Topological Graph Neural Networks Max Horn E. Brouwer Michael Moor Yves Moreau Bastian Rieck Karsten Borgwardt AI4CE 25 91 0 15 Feb 2021
Exploring the Geometry and Topology of Neural Network Loss Landscapes Stefan Horoi Je-chun Huang Bastian Rieck Guillaume Lajoie Guy Wolf Smita Krishnaswamy 21 13 0 31 Jan 2021
Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design Sarah C. Brüningk Felix Hensel C. Jutzeler Bastian Rieck 24 4 0 12 Nov 2020
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction Nicolas Swenson Aditi S. Krishnapriyan A. Buluç Dmitriy Morozov Katherine Yelick 22 16 0 30 Oct 2020
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists Frédéric Chazal Bertrand Michel 59 579 0 11 Oct 2017