Compact-Morphology-based poly-metallic Nodule Delineation

Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

(2017) Shoaib Ahmed Siddiqui et al.   ICES JOURNAL OF MARINE SCIENCE

IMAFISH_ML: A fully-automated image analysis software for assessing fish morphometric traits on gilthead seabream (Sparus aurata L.), meagre (Argyrosomus regius) and red porgy (Pagrus pagrus)

(2016) Ana Navarro et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Association of deep-sea incirrate octopods with manganese crusts and nodule fields in the Pacific Ocean

(2016) Autun Purser et al.   CURRENT BIOLOGY

Assessment of nematode biomass in marine sediments: A semi-automated image analysis method

(2016) Mikołaj Mazurkiewicz et al.   LIMNOLOGY AND OCEANOGRAPHY-METHODS

Comparison of image annotation data generated by multiple investigators for benthic ecology

(2016) JM Durden et al.   MARINE ECOLOGY PROGRESS SERIES

DeepSurveyCam—A Deep Ocean Optical Mapping System

(2016) Tom Kwasnitschka et al.   SENSORS

Comparison of image annotation data generated by multiple investigators for benthic ecology

(2016) JM Durden et al.   MARINE ECOLOGY PROGRESS SERIES

Threatened by mining, polymetallic nodules are required to preserve abyssal epifauna

(2016) Ann Vanreusel et al.   Scientific Reports

Semi-Automated Image Analysis for the Assessment of Megafaunal Densities at the Arctic Deep-Sea Observatory HAUSGARTEN

(2012) Timm Schoening et al.   PLoS One