Anees Kazi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 41

Top Topics

Surgical Planning

Convolutional Network

Imbalanced Data

Top Venues

Medical Image Anal.

Artif. Intell. Medicine

Publications

Nairouz Shehata, Carolina Piçarra, Anees Kazi, Ben Glocker
The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks. CoRR (2024)
Razieh Rezaei, Alireza Dizaji, Ashkan Khakzar, Anees Kazi, Nassir Navab, Daniel Rueckert
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions. CoRR (2024)
Tamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations. Trans. Mach. Learn. Res. 2024 (2024)
Anees Kazi, Soroush Farghadani, Iman Aganj, Nassir Navab
IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction. MLMI@MICCAI (1) (2023)
Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. Medical Image Anal. 88 (2023)
Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Differentiable Graph Module (DGM) for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj
Multi-Head Graph Convolutional Network for Structural Connectome Classification. CoRR (2023)
Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj
Multi-head Graph Convolutional Network for Structural Connectome Classification. GRAIL/OCELOT@MICCAI (2023)
Chantal Pellegrini, Nassir Navab, Anees Kazi
Unsupervised pre-training of graph transformers on patient population graphs. Medical Image Anal. 89 (2023)
Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò
Latent Graph Inference using Product Manifolds. ICLR (2023)
Anees Kazi, Viktoria Markova, Prabhat R. Kondamadugula, Beiyan Liu, Ahmed Adly, Shahrooz Faghihroohi, Nassir Navab
DG-GRU: dynamic graph based gated recurrent unit for age and gender prediction using brain imaging. Medical Imaging: Computer-Aided Diagnosis (2022)
Chantal Pellegrini, Nassir Navab, Anees Kazi
Unsupervised pre-training of graph transformers on patient population graphs. CoRR (2022)
Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò
Latent Graph Inference using Product Manifolds. CoRR (2022)
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data. Medical Image Anal. 75 (2022)
Chantal Pellegrini, Anees Kazi, Nassir Navab
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions. CoRR (2022)
Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. CoRR (2022)
Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. CoRR (2021)
Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. MICCAI (5) (2021)
Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification. Artif. Intell. Medicine 117 (2021)
Anees Kazi, Soroush Farghadani, Nassir Navab
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction. CoRR (2021)
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data. CoRR (2021)
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Latent Patient Network Learning for Automatic Diagnosis. CoRR (2020)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Sonja Kirchhoff, Diana Mateus
Precise proximal femur fracture classification for interactive training and surgical planning. Int. J. Comput. Assist. Radiol. Surg. 15 (5) (2020)
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Latent-Graph Learning for Disease Prediction. MICCAI (2) (2020)
Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC). CoRR (2020)
Anees Kazi, Luca Cosmo, Nassir Navab, Michael M. Bronstein
Differentiable Graph Module (DGM) Graph Convolutional Networks. CoRR (2020)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) (2019)
Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten Kortuem, Shadi Albarqouni, Nassir Navab
Self-Attention Equipped Graph Convolutions for Disease Prediction. ISBI (2019)
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
Adaptive image-feature learning for disease classification using inductive graph networks. CoRR (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR (2019)
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. MICCAI (6) (2019)
Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets. CoRR (2019)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. CoRR (2019)
Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten Kortuem, Shadi Albarqouni, Nassir Navab
Self-Attention Equipped Graph Convolutions for Disease Prediction. CoRR (2018)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Sonja Kirchhoff, Alexandra Sträter, Peter Biberthaler, Diana Mateus, Nassir Navab
Weakly-Supervised Localization and Classification of Proximal Femur Fractures. CoRR (2018)
Anees Kazi, Shadi Albarqouni, Karsten Kortuem, Nassir Navab
Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction. CoRR (2018)
Anees Kazi, Shadi Albarqouni, Amelia Jiménez-Sánchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus
Automatic Classification of Proximal Femur Fractures Based on Attention Models. MLMI@MICCAI (2017)
Anees Kazi, Sailesh Conjeti, Amin Katouzian, Nassir Navab
Coupled Manifold Learning for Retrieval Across Modalities. ICCV Workshops (2017)
Sailesh Conjeti, Anees Kazi, Nassir Navab, Amin Katouzian
Cross-Modal Manifold Learning for Cross-modal Retrieval. CoRR (2016)
Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab
Metric hashing forests. Medical Image Anal. 34 (2016)