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Anees Kazi

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On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions

Jan 01, 2024
Razieh Rezaei, Alireza Dizaji, Ashkan Khakzar, Anees Kazi, Nassir Navab, Daniel Rueckert

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Multi-Head Graph Convolutional Network for Structural Connectome Classification

May 02, 2023
Anees Kazi, Jocelyn Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj

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Latent Graph Inference using Product Manifolds

Nov 26, 2022
Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò

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Unsupervised pre-training of graph transformers on patient population graphs

Jul 21, 2022
Chantal Pellegrini, Nassir Navab, Anees Kazi

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Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications

Apr 01, 2022
Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein

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Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions

Mar 23, 2022
Chantal Pellegrini, Anees Kazi, Nassir Navab

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GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference

Apr 08, 2021
Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh SoleymaniBaghshah, Hamid R. Rabiee, Nassir Navab

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IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction

Mar 29, 2021
Anees Kazi, Soroush Farghadani, Nassir Navab

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RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

Feb 27, 2021
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab

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Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)

May 14, 2020
Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi

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