Anees Kazi
Anees Kazi
Computer Aided Medical Procedures (CAMP), TU Munich, Germany
Verified email at tum.de
Title
Cited by
Cited by
Year
Automatic classification of proximal femur fractures based on attention models
A Kazi, S Albarqouni, AJ Sanchez, S Kirchhoff, P Biberthaler, N Navab, ...
International Workshop on Machine Learning in Medical Imaging, 70-78, 2017
132017
Metric hashing forests
S Conjeti, A Katouzian, A Kazi, S Mesbah, D Beymer, ...
Medical image analysis 34, 13-29, 2016
132016
InceptionGCN: receptive field aware graph convolutional network for disease prediction
A Kazi, S Shekarforoush, SA Krishna, H Burwinkel, G Vivar, K Kortüm, ...
International Conference on Information Processing in Medical Imaging, 73-85, 2019
122019
Graph convolution based attention model for personalized disease prediction
A Kazi, S Shekarforoush, SA Krishna, H Burwinkel, G Vivar, B Wiestler, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
52019
Self-attention equipped graph convolutions for disease prediction
A Kazi, S Shekarforoush, K Kortuem, S Albarqouni, N Navab
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
52019
Weakly-supervised localization and classification of proximal femur fractures
A Jiménez-Sánchez, A Kazi, S Albarqouni, S Kirchhoff, A Sträter, ...
arXiv preprint arXiv:1809.10692, 2018
52018
Differentiable Graph Module (DGM) Graph Convolutional Networks
A Kazi, L Cosmo, N Navab, M Bronstein
arXiv preprint arXiv:2002.04999, 2020
42020
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks
H Burwinkel, A Kazi, G Vivar, S Albarqouni, G Zahnd, N Navab, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
32019
Endorsing cellular competitiveness in aberrant epithelium of oral submucous fibrosis progression: neighbourhood analysis of immunohistochemical attributes
A Anura, A Kazi, M Pal, RR Paul, S Sengupta, J Chatterjee
Histochemistry and Cell Biology 150 (1), 61-75, 2018
32018
Multi layered-parallel graph convolutional network (ML-PGCN) for disease prediction
A Kazi, S Albarqouni, K Kortuem, N Navab
arXiv preprint arXiv:1804.10776, 2018
22018
Cross-modal manifold learning for cross-modal retrieval
S Conjeti, A Kazi, N Navab, A Katouzian
arXiv preprint arXiv:1612.06098, 2016
22016
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)
G Vivar, A Kazi, H Burwinkel, A Zwergal, N Navab, SA Ahmadi
arXiv preprint arXiv:2005.06935, 2020
12020
Precise proximal femur fracture classification for interactive training and surgical planning.
A Jiménez-Sánchez, A Kazi, S Albarqouni, C Kirchhoff, P Biberthaler, ...
Int. J. Comput. Assist. Radiol. Surg. 15 (5), 847-857, 2020
12020
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification
A Jiménez-Sánchez, A Kazi, S Albarqouni, C Kirchhoff, P Biberthaler, ...
arXiv preprint arXiv:1902.01338, 2019
12019
Latent Patient Network Learning for Automatic Diagnosis
L Cosmo, A Kazi, SA Ahmadi, N Navab, M Bronstein
arXiv preprint arXiv:2003.13620, 2020
2020
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets
G Vivar, H Burwinkel, A Kazi, A Zwergal, N Navab, SA Ahmadi
arXiv preprint arXiv:1905.03053, 2019
2019
Coupled Manifold Learning for Retrieval Across Modalities
A Kazi, S Conjeti, A Katouzian, N Navab
Proceedings of the IEEE International Conference on Computer Vision …, 2017
2017
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Articles 1–17