no code implementations • 23 Feb 2023 • Alphin J Thottupattu, Jayanthi Sivaswamy
A method to untangle and quantify the path and inter-subject anatomy(shape) difference between the TS is presented in this paper.
no code implementations • 1 Nov 2021 • Jayanthi Sivaswamy, Alphin J Thottupattu, Mythri V, Raghav Mehta, R Sheelakumari, Chandrasekharan Kesavadas
Segmentation of sub-cortical structures from MRI scans is of interest in many neurological diagnosis.
no code implementations • 28 Jun 2021 • Alphin J Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan
We propose a method to develop an aging model for a given population, in the absence of longitudinal data, by using images from different subjects at different time points, the so-called cross-sectional data.
no code implementations • 15 Jun 2021 • Prathyusha Akundi, Soumyasis Gun, Jayanthi Sivaswamy
This is then incorporated in a CAD system design for melanoma detection.
no code implementations • 14 Jan 2021 • Abhinav Dhere, Jayanthi Sivaswamy
A siamese convolutional neural network (CNN) is used to classify a given pair of kidney sections from CT volumes as being kidneys of the same or different sides.
no code implementations • 29 Nov 2020 • Alphin J. Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan
Anatomical variabilities seen in longitudinal data or inter-subject data is usually described by the underlying deformation, captured by non-rigid registration of these images.
no code implementations • 24 Aug 2020 • Aniket Joshi, Gaurav Mishra, Jayanthi Sivaswamy
Results of testing on on a large public dataset show that with just a third of images with roughly segmented fluid filled regions, the classification accuracy is on par with state of the art methods while providing a good explanation in the form of anatomically accurate heatmap /region of interest.
no code implementations • 15 Apr 2020 • Alakh Desai, Ruchi Chauhan, Jayanthi Sivaswamy
This work explores a hybrid approach to segmentation as an alternative to a purely data-driven approach.
1 code implementation • 26 Dec 2018 • Sukesh Adiga V, Jayanthi Sivaswamy
Our architecture is based on the M-net with a change: structure similarity loss function, used for better extraction of the fingerprint from the noisy background.
no code implementations • 22 Jun 2018 • Karthik Gopinath, Samrudhdhi B Rangrej, Jayanthi Sivaswamy
Segmentation of retinal layers from Optical Coherence Tomography (OCT) volumes is a fundamental problem for any computer aided diagnostic algorithm development.
no code implementations • 4 Dec 2017 • Shivin Yadav, Karthik Gopinath, Jayanthi Sivaswamy
SD-OCT is a non-invasive cross-sectional imaging modality used for diagnosis of macular defects.
no code implementations • 4 Sep 2017 • Aabhas Majumdar, Raghav Mehta, Jayanthi Sivaswamy
Feature-based registration has been popular with a variety of features ranging from voxel intensity to Self-Similarity Context (SSC).
no code implementations • 21 Aug 2017 • Karthik Gopinath, Jayanthi Sivaswamy
The robustness of the algorithm was examined by cross-validation on the DME and AEI (private) datasets and a mean DC values obtained were 0. 69 and 0. 79, respectively.
no code implementations • 8 Dec 2016 • Karthik Gopinath, Jayanthi Sivaswamy
OCT is one such modality which has great importance in the context of analysis of cystoid structures in subretinal layers.
no code implementations • 24 Apr 2016 • V. S. R. Veeravasarapu, Jayanthi Sivaswamy, Vishanji Karani
The paper proposes a new methodology for cardiac motion analysis based on the temporal behaviour of points of interest on the myocardium.
no code implementations • 2 May 2014 • Jayanthi Sivaswamy, S. R. Krishnadas, Gopal Datt Joshi, Madhulika Jain, A. Ujjwaft Syed Tabish
Optic nerve head (ONH) segmentation problem has been of interest for automated glaucoma assessment.