4 citations · 7 across the 5 of their papers we have counts for
5 papers
NEEDL-Bench: Dataset for Swiss Needle Cast and Stomata Detection in Microscopy Images
Benjamin Blake, Declan McIntosh, Jürgen Ehlting +3
We present NEEDL-Bench, a microscopy detection benchmark for Swiss Needle Cast (SNC), a fungal disease of Douglas-fir trees. Douglas-fir is a keystone species of major ecological a…
BAAF: Universal Transformation of One-Class Classifiers for Unsupervised Image Anomaly Detection
Declan McIntosh, Alexandra Branzan Albu
Detecting anomalies in images and video is an essential task for multiple real-world problems, including industrial inspection, computer-assisted diagnosis, and environmental monit…
TempNet: Temporal Attention Towards the Detection of Animal Behaviour in Videos
Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu +2
Recent advancements in cabled ocean observatories have increased the quality and prevalence of underwater videos; this data enables the extraction of high-level biologically releva…
Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification
Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu
Chest radiographs are used for the diagnosis of multiple critical illnesses (e.g., Pneumonia, heart failure, lung cancer), for this reason, systems for the automatic or semi-automa…
Movement Tracks for the Automatic Detection of Fish Behavior in Videos
Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu +2
Global warming is predicted to profoundly impact ocean ecosystems. Fish behavior is an important indicator of changes in such marine environments. Thus, the automatic identificatio…