Cross-Modal Manifold Learning for Cross-modal Retrieval. - Sailesh Conjeti; Anees Kazi; Nassir Navab; Amin Katouzian (CoRR, 2016)

Metric hashing forests. - Sailesh Conjeti; Amin Katouzian; Anees Kazi; Sepideh Mesbah; David Beymer; Tanveer F. Syeda-Mahmood; Nassir Navab (Medical Image Anal., 2016)

Coupled Manifold Learning for Retrieval Across Modalities. - Anees Kazi; Sailesh Conjeti; Amin Katouzian; Nassir Navab (ICCV Workshops, 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 (MLMI@MICCAI, 2017)

Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction. - Anees Kazi; Shadi Albarqouni; Karsten U. Kortuem; Nassir Navab (CoRR, 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)

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 (IPMI, 2019)

Self-Attention Equipped Graph Convolutions for Disease Prediction. - Anees Kazi; S. Arvind Krishna; Shayan Shekarforoush; Karsten U. Kortuem; Shadi Albarqouni; Nassir Navab (ISBI, 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 (MICCAI (6), 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 (MICCAI (4), 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)

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)

Latent-Graph Learning for Disease Prediction. - Luca Cosmo; Anees Kazi; Seyed-Ahmad Ahmadi; Nassir Navab; Michael M. Bronstein (MICCAI (2), 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)

Differentiable Graph Module (DGM) Graph Convolutional Networks. - Anees Kazi; Luca Cosmo; Nassir Navab; Michael M. Bronstein (CoRR, 2020)

Latent Patient Network Learning for Automatic Diagnosis. - Luca Cosmo; Anees Kazi; Seyed-Ahmad Ahmadi; Nassir Navab; Michael M. Bronstein (CoRR, 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)

GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. - Mahsa Ghorbani; Mojtaba Bahrami; Anees Kazi; Mahdieh Soleymani Baghshah; Hamid R. Rabiee 001; Nassir Navab (MICCAI (5), 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)

IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction. - Anees Kazi; Soroush Farghadani; Nassir Navab (CoRR, 2021)

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 (Computer-Aided Diagnosis, 2022)

Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions. - Chantal Pellegrini; Anees Kazi; Nassir Navab (CoRR, 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)

RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data. - Mahsa Ghorbani; Anees Kazi; Mahdieh Soleymani Baghshah; Hamid R. Rabiee 001; Nassir Navab (Medical Image Anal., 2022)

Latent Graph Inference using Product Manifolds. - Haitz Sáez de Ocáriz Borde; Anees Kazi; Federico Barbero; Pietro Liò (ICLR, 2023)

Multi-head Graph Convolutional Network for Structural Connectome Classification. - Anees Kazi; Jocelyn S. Mora; Bruce Fischl; Adrian V. Dalca; Iman Aganj (GRAIL/OCELOT@MICCAI, 2023)

IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction. - Anees Kazi; Soroush Farghadani; Iman Aganj; Nassir Navab (MLMI@MICCAI (1), 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)

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., 2023)

Unsupervised pre-training of graph transformers on patient population graphs. - Chantal Pellegrini; Nassir Navab; Anees Kazi (Medical Image Anal., 2023)

The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks. - Nairouz Shehata; Carolina Piçarra; Anees Kazi; Ben Glocker (ISBI, 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)

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)