Anees Kazi

According to our database, Anees Kazi authored at least 33 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations.

Tamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis

Trans. Mach. Learn. Res., 2024

On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions.

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

CoRR, 2024

The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks.

Nairouz Shehata, Carolina Piçarra, Anees Kazi, Ben Glocker

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Unsupervised pre-training of graph transformers on patient population graphs.

Chantal Pellegrini, Nassir Navab, Anees Kazi

Medical Image Anal., October, 2023

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

Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab

Medical Image Anal., August, 2023

Differentiable Graph Module (DGM) for Graph Convolutional Networks.

Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein

IEEE Trans. Pattern Anal. Mach. Intell., 2023

IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction.

Anees Kazi, Soroush Farghadani, Iman Aganj, Nassir Navab

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Multi-head Graph Convolutional Network for Structural Connectome Classification.

Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Latent Graph Inference using Product Manifolds.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data.

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

Medical Image Anal., 2022

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

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

CoRR, 2022

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

Chantal Pellegrini, Anees Kazi, Nassir Navab

CoRR, 2022

DG-GRU: dynamic graph based gated recurrent unit for age and gender prediction using brain imaging.

Anees Kazi, Viktoria Markova, Prabhat R. Kondamadugula, Beiyan Liu, Ahmed Adly, Shahrooz Faghihroohi, Nassir Navab

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

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

Anees Kazi, Soroush Farghadani, Nassir Navab

CoRR, 2021

Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification.

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

Artif. Intell. Medicine, 2021

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

Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

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

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

CoRR, 2020

Latent Patient Network Learning for Automatic Diagnosis.

Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein

CoRR, 2020

Differentiable Graph Module (DGM) Graph Convolutional Networks.

Anees Kazi, Luca Cosmo, Nassir Navab, Michael M. Bronstein

CoRR, 2020

Precise proximal femur fracture classification for interactive training and surgical planning.

Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Sonja Kirchhoff, Diana Mateus

Int. J. Comput. Assist. Radiol. Surg., 2020

Latent-Graph Learning for Disease Prediction.

Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets.

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

CoRR, 2019

Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification.

Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff

CoRR, 2019

Graph Convolution Based Attention Model for Personalized Disease Prediction.

Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks.

Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Self-Attention Equipped Graph Convolutions for Disease Prediction.

Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction.

Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Weakly-Supervised Localization and Classification of Proximal Femur Fractures.

Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Sonja Kirchhoff, Alexandra Sträter, Peter Biberthaler, Diana Mateus, Nassir Navab

CoRR, 2018

Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction.

Anees Kazi, Shadi Albarqouni, Karsten U. Kortuem, Nassir Navab

CoRR, 2018

2017

Automatic Classification of Proximal Femur Fractures Based on Attention Models.

Anees Kazi, Shadi Albarqouni, Amelia Jiménez-Sánchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Coupled Manifold Learning for Retrieval Across Modalities.

Anees Kazi, Sailesh Conjeti, Amin Katouzian, Nassir Navab

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Metric hashing forests.

Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab

Medical Image Anal., 2016

Cross-Modal Manifold Learning for Cross-modal Retrieval.

Sailesh Conjeti, Anees Kazi, Nassir Navab, Amin Katouzian

CoRR, 2016