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Mohammad Ali Armin
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Publications
- 2023
- [c21]Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal:
Automated Coronary Arteries Labeling Via Geometric Deep Learning. ISBI 2023: 1-5 - [i19]Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal:
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR abs/2311.15836 (2023) - [i18]David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal:
Deep Learning Approaches for Seizure Video Analysis: A Review. CoRR abs/2312.10930 (2023) - 2022
- [j4]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A survey on graph-based deep learning for computational histopathology. Comput. Medical Imaging Graph. 95: 102027 (2022) - [c15]Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. ISBI 2022: 1-5 - [i16]Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin:
Vision-Based Activity Recognition in Children with Autism-Related Behaviors. CoRR abs/2208.04206 (2022) - [i15]Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal:
Automated Coronary Arteries Labeling Via Geometric Deep Learning. CoRR abs/2212.00386 (2022) - 2021
- [j2]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. Sensors 21(14): 4758 (2021) - [c12]Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Video-Based Inpatient Fall Risk Assessment: A Case Study. EMBC 2021: 2601-2604 - [c11]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. EMBC 2021: 3613-3616 - [i11]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. CoRR abs/2105.13137 (2021) - [i10]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. CoRR abs/2106.00557 (2021) - [i9]Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Video-Based Inpatient Fall Risk Assessment: A Case Study. CoRR abs/2106.07565 (2021) - [i7]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A Survey on Graph-Based Deep Learning for Computational Histopathology. CoRR abs/2107.00272 (2021) - [i4]Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Nic Heaney, Karl von Richter, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Mohammad Ali Armin, Geoffrey Carlin, Russ Babcock, Peyman Moghadam, Daniel Smith, Tim Davis, Kemal El Moujahid, Martin Wicke, Megha Malpani:
The CSIRO Crown-of-Thorn Starfish Detection Dataset. CoRR abs/2111.14311 (2021) - [i3]Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. CoRR abs/2111.15124 (2021) - 2020
- [c8]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Attention Networks for Multi-Task Signal Analysis. EMBC 2020: 184-187
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