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ORCIDMaryam Asadi-Aghbolaghi
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- affiliation: Sharif University of Technology, Tehran, Iran
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2020 – today
- 2025
[j7]Maryam Asadi, Soroush Sarabi
, Marjan Kordani, Mohsen Asghari Ilani, Yaser Mike Banad:
Enhanced-HisSegNet: Improved SAR Image Flood Segmentation With Learnable Histogram Layers and Active Contour Model. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025)- 2024
- [i3]Ali Khajegili Mirabadi, Graham Archibald, Amirali Darbandsari, Alberto Contreras-Sanz, Ramin Ebrahim Nakhli, Maryam Asadi, Allen Zhang, C. Blake Gilks, Peter Black, Gang Wang, Hossein Farahani, Ali Bashashati:
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation. CoRR abs/2402.03592 (2024) - 2023
- [c13]Ramin Nakhli, Allen W. Zhang, Ali Khajegili Mirabadi, Katherine Rich, Maryam Asadi, C. Blake Gilks, Hossein Farahani, Ali Bashashati:
CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation. ICCV 2023: 21006-21016 - [c12]Puria Azadi, Jonathan Suderman, Ramin Nakhli, Katherine Rich, Maryam Asadi, Sonia Kung, Htoo Oo, Mira Keyes, Hossein Farahani, Calum MacAulay, Larry Goldenberg, Peter Black, Ali Bashashati:
ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment. MICCAI (6) 2023: 765-775 - [c11]Roozbeh Bazargani, Wanwen Chen, Sadaf Sadeghian, Maryam Asadi, Jeffrey Boschman, Amirali Darbandsari, Ali Bashashati, Septimiu E. Salcudean:
A novel H&E color augmentation for domain invariance classification of unannotated histopathology prostate cancer images. Digital and Computational Pathology 2023 - 2021
- [c10]Reza Azad, Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof, Sergio Escalera:
Deep Frequency Re-calibration U-Net for Medical Image Segmentation. ICCVW 2021: 3267-3276 - 2020
- [c9]Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera:
Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation. ECCV Workshops (1) 2020: 251-266 - [c8]Carlos Martín-Isla, Maryam Asadi-Aghbolaghi, Polyxeni Gkontra, Víctor M. Campello, Sergio Escalera, Karim Lekadir:
Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI 2020: 1-16 - [i2]Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy, Sergio Escalera:
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation. CoRR abs/2003.05056 (2020)
2010 – 2019
- 2019
- [j6]Reza Azad, Maryam Asadi-Aghbolaghi, Shohreh Kasaei, Sergio Escalera:
Dynamic 3D Hand Gesture Recognition by Learning Weighted Depth Motion Maps. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1729-1740 (2019) - [c7]Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera:
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions. ICCV Workshops 2019: 406-415 - [i1]Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera:
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions. CoRR abs/1909.00166 (2019) - 2018
- [j5]Maryam Asadi-Aghbolaghi, Shohreh Kasaei:
Supervised spatio-temporal kernel descriptor for human action recognition from RGB-depth videos. Multim. Tools Appl. 77(11): 14115-14135 (2018) - [c6]Mohammad N. S. Jahromi, Morten Bojesen Bonderup, Maryam Asadi-Aghbolaghi, Egils Avots, Kamal Nasrollahi, Sergio Escalera, Shohreh Kasaei, Thomas B. Moeslund, Gholamreza Anbarjafari:
Automatic Access Control Based on Face and Hand Biometrics in a Non-cooperative Context. WACV Workshops 2018: 28-36 - 2017
- [c5]Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró, Isabelle Guyon, Shohreh Kasaei, Sergio Escalera:
A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences. FG 2017: 476-483 - [c4]Maryam Asadi-Aghbolaghi, Hugo Bertiche, Vicent Roig, Shohreh Kasaei, Sergio Escalera:
Action Recognition from RGB-D Data: Comparison and Fusion of Spatio-Temporal Handcrafted Features and Deep Strategies. ICCV Workshops 2017: 3179-3188 - [c3]Ahmad K. N. Tehrani, Maryam Asadi-Aghbolaghi, Shohreh Kasaei:
Skeleton-based Human Action Recognition - A Learning Method based on Active Joints. VISIGRAPP (5: VISAPP) 2017: 303-310 - [p1]Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró, Isabelle Guyon, Shohreh Kasaei, Sergio Escalera:
Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey. Gesture Recognition 2017: 539-578 - 2014
- [j4]Nadjla Hariri, Maryam Asadi, Yazdan Mansourian:
The impact of users' verbal/imagery cognitive styles on their Web search behavior. Aslib J. Inf. Manag. 66(4): 401-423 (2014) - [j3]Saeed Parsa, Mojtaba Vahidi-Asl, Maryam Asadi-Aghbolaghi:
Hierarchy-Debug: a scalable statistical technique for fault localization. Softw. Qual. J. 22(3): 427-466 (2014) - 2012
- [j2]Reza Saadat, Maryam Asadi:
The Cooperative Mobile Positioning Based on the Received Signal Strength for Heterogeneous Environments. IEICE Trans. Commun. 95-B(12): 3929-3932 (2012) - 2011
- [c2]Saeed Parsa, Maryam Asadi-Aghbolaghi, Mojtaba Vahidi-Asl:
Statistical Debugging Using a Hierarchical Model of Correlated Predicates. AICI (1) 2011: 251-256 - [c1]Behrouz Minaei-Bidgoli, Maryam Asadi, Hamid Parvin:
An Ensemble Based Approach for Feature Selection. EANN 2011: 240-246
2000 – 2009
- 2009
- [j1]Maryam Asadi, Maryam Shekofteh:
The relationship between the research activity of Iranian medical universities and their web impact factor. Electron. Libr. 27(6): 1026-1043 (2009)
Coauthor Index
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