research
∙
02/13/2023
CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection
Formalizing surgical activities as triplets of the used instruments, act...
share
research
∙
04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
research
∙
06/16/2020
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss
Lung cancer is the most common form of cancer found worldwide with a hig...
research
∙
04/28/2020
Identification of Cervical Pathology using Adversarial Neural Networks
Various screening and diagnostic methods have led to a large reduction o...
research
∙
01/17/2020
CHAOS Challenge – Combined (CT-MR) Healthy Abdominal Organ Segmentation
Segmentation of abdominal organs has been a comprehensive, yet unresolve...
research
∙
08/03/2019
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging
Ischaemic stroke is a medical condition caused by occlusion of blood sup...
research
∙
06/10/2019
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network
Convolutional neural networks (CNN) are generally designed with a heuris...
research
∙
05/20/2019
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos
Surgical workflow analysis is of importance for understanding onset and ...
research
∙
02/07/2019