Marrable Daniel, Tippaya Sawitchaya, Barker Kathryn, Harvey Euan, Bierwagen Stacy L., Wyatt Mathew, Bainbridge Scott, Stowar Marcus (2023), Generalised deep learning model for semi-automated length measurement of fish in stereo-BRUVS , Frontiers in Marine Science, 10, DOI=10.3389/fmars.2023.1171625  

• Marrable Daniel, Barker Kathryn, Tippaya Sawitchaya, Wyatt Mathew, Bainbridge Scott, Stowar Marcus, Larke Jason (Aug 2022) Accelerating Species Recognition and Labelling of Fish From Underwater Video With Machine-Assisted Deep Learning. Frontiers in Marine Science. DOI=10.3389/fmars.2022.944582 

• Daniel Marrable, Kathryn Barker, Jason Larke (May 2020) Sushi: Novel methods for classification of fish from video Algorithm Technical Basis Document Delivery Milestone 1.

• Daniel Marrable, Kathryn Barker, Jason Larke (Sep 2020) Sushi: Novel methods for classification of fish from video Algorithm Technical Basis Document Delivery Milestone 2.

• Daniel Marrable, Mauro Radaelli, Mathew Wyatt, Scott Bainbridge, Ben Radford (2018) Deep Learning Model for Real-time Object Detection and Classification from Underwater Images. Ocean Optics Conference, Dubrovnik, Croatia

• Daniel Marrable, Scott Bainbridge, Mauro Radaelli, Mathew Wyatt and Leanne Currey-Randall (2019) Use of Deep Learning for automated analysis of BRUVS fish data. AMSA Conference, Fremantle, Western Australia

• Daniel Marrable (2018) BRUVS fish detection and classification Algorithm Technical Basis Document Final Report.