Ikuti
Afshin Bozorgpour
Afshin Bozorgpour
Email yang diverifikasi di ce.sharif.edu
Judul
Dikutip oleh
Dikutip oleh
Tahun
Medical image segmentation review: The success of u-net
R Azad, EK Aghdam, A Rauland, Y Jia, AH Avval, A Bozorgpour, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2982024
Foundational models in medical imaging: A comprehensive survey and future vision
B Azad, R Azad, S Eskandari, A Bozorgpour, A Kazerouni, I Rekik, ...
arXiv preprint arXiv:2310.18689, 2023
612023
Deep frequency re-calibration u-net for medical image segmentation
R Azad, A Bozorgpour, M Asadi-Aghbolaghi, D Merhof, S Escalera
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
592021
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images
A Gupta, S Gehlot, S Goswami, S Motwani, R Gupta, AG Faura, D Štepec, ...
Medical Image Analysis 83, 102677, 2023
462023
Multi-scale regional attention deeplab3+: Multiple myeloma plasma cells segmentation in microscopic images
B Afshin, A Reza, S Eman, S Alaa
MICCAI Workshop on Computational Pathology, 47-56, 2021
41*2021
Dermosegdiff: A boundary-aware segmentation diffusion model for skin lesion delineation
A Bozorgpour, Y Sadegheih, A Kazerouni, R Azad, D Merhof
International workshop on predictive intelligence in medicine, 146-158, 2023
302023
Computation-efficient era: A comprehensive survey of state space models in medical image analysis
M Heidari, SG Kolahi, S Karimijafarbigloo, B Azad, A Bozorgpour, ...
arXiv preprint arXiv:2406.03430, 2024
92024
Unlocking fine-grained details with wavelet-based high-frequency enhancement in transformers
R Azad, A Kazerouni, A Sulaiman, A Bozorgpour, EK Aghdam, A Jose, ...
International Workshop on Machine Learning in Medical Imaging, 207-216, 2023
82023
& Merhof, D.(2024). Medical image segmentation review: The success of u-net
R Azad, EK Aghdam, A Rauland, Y Jia, AH Avval, A Bozorgpour
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
62022
Lhu-net: A light hybrid u-net for cost-efficient, high-performance volumetric medical image segmentation
Y Sadegheih, A Bozorgpour, P Kumari, R Azad, D Merhof
arXiv preprint arXiv:2404.05102, 2024
52024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
P Kumari, J Chauhan, A Bozorgpour, B Huang, R Azad, D Merhof
arXiv preprint arXiv:2312.17004, 2023
52023
Robust homography optimization in soccer scenes
A Bozorgpour, M Fotouhi, S Kasaei
2015 23rd Iranian Conference on Electrical Engineering, 787-792, 2015
52015
MSANet: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
SG Kolahi, SK Chaharsooghi, T Khatibi, A Bozorgpour, R Azad, M Heidari, ...
arXiv preprint arXiv:2407.21640, 2024
42024
Touchstone benchmark: Are we on the right way for evaluating AI algorithms for medical segmentation?
PRAS Bassi, W Li, Y Tang, F Isensee, Z Wang, J Chen, YC Chou, ...
Advances in Neural Information Processing Systems 37, 15184-15201, 2025
32025
Enhancing efficiency in vision transformer networks: Design techniques and insights
M Heidari, R Azad, SG Kolahi, R Arimond, L Niggemeier, A Sulaiman, ...
arXiv preprint arXiv:2403.19882, 2024
32024
Automatic soccer field line recognition by minimum information
M Fotouhi, A Bozorgpour, S Kasaei
2015 The International Symposium on Artificial Intelligence and Signal …, 2015
32015
HCA-Net: Hierarchical context attention network for intervertebral disc semantic labeling
A Bozorgpour, B Azad, R Azad, Y Velichko, U Bagci, D Merhof
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024
22024
Physics-Inspired Generative Models in Medical Imaging: A Review
D Hein, A Bozorgpour, D Merhof, G Wang
arXiv preprint arXiv:2407.10856, 2024
12024
A Large-Scale AI Benchmark for 3D Multi-Organ Segmentation
Z Wang, J Chen, YC Chou, S Roy, Y Kirchhoff, M Rokuss, Z Huang, J Ye, ...
Echo-HGNet: A Efficient Hybrid Model with Graph Neural Network Supervision for Ejection Fraction Estimation
M Heidari, A Bozorgpour, AZ Fakharnia, D Merhof, I Hacihaliloglu
Medical Imaging with Deep Learning, 0
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