Anees Kazi
Anees Kazi
Computer Aided Medical Procedures (CAMP), TU Munich, Germany
Verified email at tum.de
Title
Cited by
Cited by
Year
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
172019
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
142017
Metric hashing forests
S Conjeti, A Katouzian, A Kazi, S Mesbah, D Beymer, ...
Medical image analysis 34, 13-29, 2016
132016
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
72019
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
72019
Differentiable Graph Module (DGM) Graph Convolutional Networks
A Kazi, L Cosmo, N Navab, M Bronstein
arXiv preprint arXiv:2002.04999, 2020
62020
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
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
42019
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
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
22019
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
Latent-Graph Learning for Disease Prediction
L Cosmo, A Kazi, SA Ahmadi, N Navab, M Bronstein
International Conference on Medical Image Computing and Computer-Assisted …, 2020
2020
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 1–18