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Anees Kazi
Anees Kazi
Research Scientist, MGH, Harvard Medical School
Verified email at mgh.harvard.edu
Title
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Cited by
Year
InceptionGCN: receptive field aware graph convolutional network for disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
International Conference on Information Processing in Medical Imaging, 73-85, 2019
822019
Differentiable graph module (dgm) for graph convolutional networks
A Kazi, L Cosmo, SA Ahmadi, N Navab, M Bronstein
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
582022
Graph convolution based attention model for personalized disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
272019
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
262019
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
252017
Precise proximal femur fracture classification for interactive training and surgical planning
A Jiménez-Sánchez, A Kazi, S Albarqouni, C Kirchhoff, P Biberthaler, ...
International journal of computer assisted radiology and surgery 15 (5), 847-857, 2020
24*2020
Metric hashing forests
S Conjeti, A Katouzian, A Kazi, S Mesbah, D Beymer, ...
Medical image analysis 34, 13-29, 2016
222016
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
212020
Ra-gcn: Graph convolutional network for disease prediction problems with imbalanced data
M Ghorbani, A Kazi, MS Baghshah, HR Rabiee, N Navab
Medical Image Analysis 75, 102272, 2022
162022
Latent patient network learning for automatic diagnosis
L Cosmo, A Kazi, SA Ahmadi, N Navab, M Bronstein
arXiv preprint arXiv:2003.13620, 2020
162020
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
132020
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
102019
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
92018
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
72018
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
62019
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification
G Vivar, A Kazi, H Burwinkel, A Zwergal, N Navab, SA Ahmadi
Artificial Intelligence in Medicine 117, 102097, 2021
42021
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
42018
Ia-gcn: Interpretable attention based graph convolutional network for disease prediction
A Kazi, S Farghadani, N Navab
arXiv preprint arXiv:2103.15587, 2021
32021
GKD: Semi-supervised graph knowledge distillation for graph-independent inference
M Ghorbani, M Bahrami, A Kazi, M Soleymani Baghshah, HR Rabiee, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
22021
Cross-modal manifold learning for cross-modal retrieval
S Conjeti, A Kazi, N Navab, A Katouzian
arXiv preprint arXiv:1612.06098, 2016
22016
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