178 citations · 204 across the 5 of their papers we have counts for
5 papers
Polyp Segmentation Generalisability of Pretrained Backbones
Edward Sanderson, Bogdan J. Matuszewski
It has recently been demonstrated that pretraining backbones in a self-supervised manner generally provides better fine-tuned polyp segmentation performance, and that models with V…
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
Edward Sanderson, Bogdan J. Matuszewski
Solutions to vision tasks in gastrointestinal endoscopy (GIE) conventionally use image encoders pretrained in a supervised manner with ImageNet-1k as backbones. However, the use of…
SimCol3D -- 3D Reconstruction during Colonoscopy Challenge
Anita Rau, Sophia Bano, Yueming Jin +19
Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps…
FCN-Transformer Feature Fusion for Polyp Segmentation
Edward Sanderson, Bogdan J. Matuszewski
Colonoscopy is widely recognised as the gold standard procedure for the early detection of colorectal cancer (CRC). Segmentation is valuable for two significant clinical applicatio…
mREAL-GAN: Generating Multiple Residential Electrical Appliance Load Profiles with Inter-Dependencies using a Generative Adversarial Network
Edward Sanderson, Aikaterini Fragaki, Jules Simo +1
In this paper, we introduce mREAL-GAN, a generative adversarial network (GAN) for the parallel generation of multiple residential electrical appliance load (mREAL) profiles. mREAL-…