Follow
Anees Kazi
Anees Kazi
Research Scientist, MGH, Harvard Medical School
Verified email at mgh.harvard.edu
Title
Cited by
Cited by
Year
InceptionGCN: receptive field aware graph convolutional network for disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
Information Processing in Medical Imaging: 26th International Conference …, 2019
1402019
Differentiable graph module (dgm) for graph convolutional networks
A Kazi, L Cosmo, SA Ahmadi, N Navab, MM Bronstein
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1606-1617, 2022
1232022
Latent-graph learning for disease prediction
L Cosmo, A Kazi, SA Ahmadi, N Navab, M Bronstein
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
652020
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
472022
Graph convolution based attention model for personalized disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
412019
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
392019
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, 847-857, 2020
36*2020
Automatic classification of proximal femur fractures based on attention models
A Kazi, S Albarqouni, AJ Sanchez, S Kirchhoff, P Biberthaler, N Navab, ...
Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017
282017
Metric hashing forests
S Conjeti, A Katouzian, A Kazi, S Mesbah, D Beymer, ...
Medical image analysis 34, 13-29, 2016
222016
Latent patient network learning for automatic diagnosis
L Cosmo, A Kazi, SA Ahmadi, N Navab, M Bronstein
arXiv preprint arXiv:2003.13620, 77, 2020
212020
Adaptive image-feature learning for disease classification using inductive graph networks
H Burwinkel, A Kazi, G Vivar, S Albarqouni, G Zahnd, N Navab, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
152019
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
132021
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
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
132018
Latent graph inference using product manifolds
HS de Ocáriz Borde, A Kazi, F Barbero, P Lio
The Eleventh International Conference on Learning Representations, 2022
112022
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, 61-75, 2018
112018
Gkd: Semi-supervised graph knowledge distillation for graph-independent inference
M Ghorbani, M Bahrami, A Kazi, M Soleymani Baghshah, HR Rabiee, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
102021
Ia-gcn: Interpretable attention based graph convolutional network for disease prediction
A Kazi, S Farghadani, I Aganj, N Navab
International Workshop on Machine Learning in Medical Imaging, 382-392, 2023
82023
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
72019
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
72018
The system can't perform the operation now. Try again later.
Articles 1–20