Anees Kazi - RankMe

45 papers A* 1Journal 29Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis - First International Workshop, RIME 2025, and 7th International Workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025, Proceedings GRAIL/RIME@MICCAI Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu
2025	—	`ed.`	Graphs in Biomedical Image Analysis - 6th International Workshop, GRAIL 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings GRAIL@MICCAI Seyed-Ahmad Ahmadi, Anees Kazi
2024	J	`jnl`	A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations. Trans. Mach. Learn. Res. Tamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis
2024	J	`jnl`	On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions. CoRR Razieh Rezaei, Alireza Dizaji, Ashkan Khakzar, Anees Kazi, Nassir Navab, Daniel Rueckert
2024	—	`conf`	The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks. ISBI Nairouz Shehata, Carolina Piçarra, Anees Kazi, Ben Glocker
2024	J	`jnl`	The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks. CoRR Nairouz Shehata, Carolina Piçarra, Anees Kazi, Ben Glocker
2023	J	`jnl`	Differentiable Graph Module (DGM) for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
2023	J	`jnl`	Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. Medical Image Anal. Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab
2023	—	`conf`	IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction. MLMI@MICCAI (1) Anees Kazi, Soroush Farghadani, Iman Aganj, Nassir Navab
2023	A*	`conf`	Latent Graph Inference using Product Manifolds. ICLR Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò
2023	J	`jnl`	Multi-Head Graph Convolutional Network for Structural Connectome Classification. CoRR Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj
2023	—	`conf`	Multi-head Graph Convolutional Network for Structural Connectome Classification. GRAIL/OCELOT@MICCAI Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj
2023	J	`jnl`	Unsupervised pre-training of graph transformers on patient population graphs. Medical Image Anal. Chantal Pellegrini, Nassir Navab, Anees Kazi
2022	—	`conf`	DG-GRU: dynamic graph based gated recurrent unit for age and gender prediction using brain imaging. Computer-Aided Diagnosis Anees Kazi, Viktoria Markova, Prabhat R. Kondamadugula, Beiyan Liu, Ahmed Adly, Shahrooz Faghihroohi, Nassir Navab
2022	J	`jnl`	Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. CoRR Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
2022	—	`ed.`	Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis - First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings ISGIE/GRAIL@MICCAI Luigi Manfredi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Anees Kazi, Davide Lomanto, Alwyn Mathew, Ludovic Magerand, Kamilia Mullakaeva, Bartlomiej W. Papiez, Russell H. Taylor, Emanuele Trucco
2022	J	`jnl`	Latent Graph Inference using Product Manifolds. CoRR Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò
2022	J	`jnl`	RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data. Medical Image Anal. Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
2022	J	`jnl`	Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions. CoRR Chantal Pellegrini, Anees Kazi, Nassir Navab
2022	J	`jnl`	Unsupervised pre-training of graph transformers on patient population graphs. CoRR Chantal Pellegrini, Nassir Navab, Anees Kazi
2021	—	`conf`	GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. MICCAI (5) Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
2021	J	`jnl`	GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. CoRR Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
2021	J	`jnl`	IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction. CoRR Anees Kazi, Soroush Farghadani, Nassir Navab
2021	J	`jnl`	RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data. CoRR Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
2021	J	`jnl`	Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification. Artif. Intell. Medicine Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Differentiable Graph Module (DGM) Graph Convolutional Networks. CoRR Anees Kazi, Luca Cosmo, Nassir Navab, Michael M. Bronstein
2020	J	`jnl`	Latent Patient Network Learning for Automatic Diagnosis. CoRR Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
2020	—	`conf`	Latent-Graph Learning for Disease Prediction. MICCAI (2) Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
2020	J	`jnl`	Precise proximal femur fracture classification for interactive training and surgical planning. Int. J. Comput. Assist. Radiol. Surg. Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Sonja Kirchhoff, Diana Mateus
2020	J	`jnl`	Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC). CoRR Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2019	—	`conf`	Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. MICCAI (6) Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
2019	J	`jnl`	Adaptive image-feature learning for disease classification using inductive graph networks. CoRR Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
2019	—	`conf`	Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	—	`conf`	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten U. Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets. CoRR Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2019	—	`conf`	Self-Attention Equipped Graph Convolutions for Disease Prediction. ISBI Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. CoRR Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff
2018	J	`jnl`	Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction. CoRR Anees Kazi, Shadi Albarqouni, Karsten U. Kortuem, Nassir Navab
2018	J	`jnl`	Self-Attention Equipped Graph Convolutions for Disease Prediction. CoRR Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab
2018	J	`jnl`	Weakly-Supervised Localization and Classification of Proximal Femur Fractures. CoRR Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Sonja Kirchhoff, Alexandra Sträter, Peter Biberthaler, Diana Mateus, Nassir Navab
2017	—	`conf`	Automatic Classification of Proximal Femur Fractures Based on Attention Models. MLMI@MICCAI Anees Kazi, Shadi Albarqouni, Amelia Jiménez-Sánchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus
2017	—	`conf`	Coupled Manifold Learning for Retrieval Across Modalities. ICCV Workshops Anees Kazi, Sailesh Conjeti, Amin Katouzian, Nassir Navab
2016	J	`jnl`	Cross-Modal Manifold Learning for Cross-modal Retrieval. CoRR Sailesh Conjeti, Anees Kazi, Nassir Navab, Amin Katouzian
2016	J	`jnl`	Metric hashing forests. Medical Image Anal. Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab