Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features. - Mohammad Ali Armin; Girija Chetty; Jurgen Fripp; Hans de Visser; Cédric Dumas; Amir Fazlollahi; Florian Grimpen; Olivier Salvado (CARE@MICCAI, 2015)

Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy. - Mohammad Ali Armin; Hans de Visser; Girija Chetty; Cédric Dumas; David Conlan; Florian Grimpen; Olivier Salvado (MICCAI (1), 2015)

Automated visibility map of the internal colon surface from colonoscopy video. - Mohammad Ali Armin; Girija Chetty; Hans de Visser; Cédric Dumas; Florian Grimpen; Olivier Salvado (Int. J. Comput. Assist. Radiol. Surg., 2016)

Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN). - Mohammad Ali Armin; Nick Barnes; José M. Álvarez 004; Hongdong Li; Florian Grimpen; Olivier Salvado (CARE/CLIP@MICCAI, 2017)

Image Registration via Geometrically Constrained Total Variation Optical Flow. - Mehrdad Shoeiby; Mohammad Ali Armin; Antonio Robles-Kelly (DICTA, 2018)

Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation. - Mohammad Ali Armin; Nick Barnes; Salman H. Khan 001; Miaomiao Liu; Florian Grimpen; Olivier Salvado (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Mosaic Super-resolution via Sequential Feature Pyramid Networks. - Mehrdad Shoeiby; Mohammad Ali Armin; Mohammad Sadegh Aliakbarian; Saeed Anwar; Lars Petersson (CVPR Workshops, 2020)

Attention Networks for Multi-Task Signal Analysis. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (EMBC, 2020)

OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos. - Jiabo Xu; Saeed Anwar; Nick Barnes; Florian Grimpen; Olivier Salvado; Stuart Anderson; Mohammad Ali Armin (MICCAI (3), 2020)

Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. - Mehrdad Shoeiby; Lars Petersson; Mohammad Ali Armin; Mohammad Sadegh Aliakbarian; Antonio Robles-Kelly (WACV, 2020)

Dual Contrastive Learning for Unsupervised Image-to-Image Translation. - Junlin Han; Mehrdad Shoeiby; Lars Petersson; Mohammad Ali Armin (CVPR Workshops, 2021)

Learning To Segment Dominant Object Motion From Watching Videos. - Sahir Shrestha; Mohammad Ali Armin; Hongdong Li; Nick Barnes (DICTA, 2021)

Video-Based Inpatient Fall Risk Assessment: A Case Study. - Ziqing Wang; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (EMBC, 2021)

Towards Interpretable Attention Networks for Cervical Cancer Analysis. - Ruiqi Wang; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (EMBC, 2021)

Single Underwater Image Restoration by Contrastive Learning. - Junlin Han; Mehrdad Shoeiby; Tim J. Malthus; Elizabeth J. Botha; Janet M. Anstee; Saeed Anwar; Ran Wei; Lars Petersson; Mohammad Ali Armin (IGARSS, 2021)

The CSIRO Crown-of-Thorn Starfish Detection Dataset. - Jiajun Liu; Brano Kusy; Ross Marchant; Brendan Do; Torsten Merz; Joey Crosswell; Andy Steven 001; Nic Heaney; Karl von Richter; Lachlan Tychsen-Smith; David Ahmedt-Aristizabal; Mohammad Ali Armin; et al. (CoRR, 2021)

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (Sensors, 2021)

A Hyperspectral and RGB Dataset for Building Façade Segmentation. - Nariman Habili; Ernest Kwan; Weihao Li 005; Christfried Webers; Jeremy Oorloff; Mohammad Ali Armin; Lars Petersson (ECCV Workshops (7), 2022)

Blind Image Decomposition. - Junlin Han; Weihao Li 005; Pengfei Fang; Chunyi Sun; Jie Hong; Mohammad Ali Armin; Lars Petersson; Hongdong Li (ECCV (18), 2022)

Declarative nets that are equilibrium models. - Russell Tsuchida; Suk Yee Yong; Mohammad Ali Armin; Lars Petersson; Cheng Soon Ong (ICLR, 2022)

You Only Cut Once: Boosting Data Augmentation with a Single Cut. - Junlin Han; Pengfei Fang; Weihao Li 005; Jie Hong; Mohammad Ali Armin; Ian D. Reid 001; Lars Petersson; Hongdong Li (ICML, 2022)

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. - Ting Cao; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (ISBI, 2022)

A survey on graph-based deep learning for computational histopathology. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (Comput. Medical Imaging Graph., 2022)

Vision-Based Activity Recognition in Children with Autism-Related Behaviors. - Pengbo Wei; David Ahmedt-Aristizabal; Harshala Gammulle; Simon Denman; Mohammad Ali Armin (CoRR, 2022)

Underwater Image Restoration via Contrastive Learning and a Real-World Dataset. - Junlin Han; Mehrdad Shoeiby; Timothy J. Malthus; Elizabeth J. Botha; Janet M. Anstee; Saeed Anwar; Ran Wei; Mohammad Ali Armin; Hongdong Li; Lars Petersson (Remote. Sens., 2022)

Automated Coronary Arteries Labeling Via Geometric Deep Learning. - Yadan Li; Mohammad Ali Armin; Simon Denman; David Ahmedt-Aristizabal (ISBI, 2023)

Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors. - Heming Du; Xin Yu 002; Farookh Khadeer Hussain; Mohammad Ali Armin; Lars Petersson; Weihao Li 005 (WACV, 2023)

Deep Learning Approaches for Seizure Video Analysis: A Review. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Zeeshan Hayder; Norberto Garcia-Cairasco; Lars Petersson; Clinton Fookes; Simon Denman; Aileen McGonigal (CoRR, 2023)

Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. - Sam Cantrill; David Ahmedt-Aristizabal; Lars Petersson; Hanna Suominen; Mohammad Ali Armin (CVPR Workshops, 2024)

Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation. - Rahm Ranjan; David Ahmedt-Aristizabal; Mohammad Ali Armin; Juno Kim (DICTA, 2024)

Point-Supervised Seagrass Segmentation for 3D Underwater Habitat Mapping. - Miaohua Zhang; Rodrigo Santa Cruz; Yulia Arzhaeva; Xun Li; Brendan Do; Jeremy Oorloff; Mohammad Ali Armin; Zeeshan Hayder; David Ahmedt-Aristizabal (DICTA, 2024)

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. - 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; et al. (ISBI, 2024)

Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset. - Rahm Ranjan; David Ahmedt-Aristizabal; Mohammad Ali Armin; Juno Kim (IEEE Access, 2025)