Rachana Sathish
Orcid: 0000-0003-3402-3852
According to our database1,
Rachana Sathish
authored at least 19 papers
between 2016 and 2023.
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Bibliography
2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023
Medical Image Anal., May, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
2022
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
2021
Medical Image Anal., 2021
Assessing Lobe-wise Burden of COVID-19 Infection in Computed Tomography of Lungs using Knowledge Fusion from Multiple Datasets.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos.
CoRR, 2019
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy.
CoRR, 2019
Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions.
Proceedings of the Handbook of Deep Learning Applications., 2019
2017
Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
2016
Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016