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Raghavendra Selvan
Researcher at University of Copenhagen
Publications - 44
Citations - 629
Raghavendra Selvan is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Tensor & Image segmentation. The author has an hindex of 8, co-authored 44 publications receiving 271 citations.
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Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
TL;DR: This work proposes that energy and carbon footprint of model development and training is reported alongside performance metrics using tools like Carbontracker, and hopes this will promote responsible computing in ML and encourage research into energy-efficient deep neural networks.
Journal ArticleDOI
Segmentation of roots in soil with U-Net.
TL;DR: In this article, an automated image segmentation method based on the U-Net Convolutional Neural Network (CNN) architecture was proposed for root detection and quantification in soil images.
Book ChapterDOI
A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs
TL;DR: An end-to-end deep learning segmentation method by combining a 3D UNet architecture with a graph neural network (GNN) model with two types of graph adjacency, which is applied to the task of segmenting the airway tree from chest CT scans.
Journal ArticleDOI
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.
Espen Jimenez-Solem,Espen Jimenez-Solem,Tonny Studsgaard Petersen,Tonny Studsgaard Petersen,Casper Worm Hansen,Christian Hansen,Christina Lioma,Christian Igel,Wouter Boomsma,Oswin Krause,Stephan Sloth Lorenzen,Raghavendra Selvan,Janne Petersen,Janne Petersen,Martin Erik Nyeland,Mikkel Zöllner Ankarfeldt,Gert Mehl Virenfeldt,Matilde Winther-Jensen,Allan Linneberg,Mostafa Mehdipour Ghazi,Nicki Skafte Detlefsen,Andreas David Lauritzen,Abraham George Smith,Marleen de Bruijne,Marleen de Bruijne,Bulat Ibragimov,Jens E.V. Petersen,Martin Lillholm,Jon Middleton,Stine Hasling Mogensen,Hans-Christian Thorsen-Meyer,Anders Perner,Marie Helleberg,Benjamin Skov Kaas-Hansen,Mikkel Bonde,Alexander Bonde,Akshay Pai,Mads Nielsen,Martin Sillesen,Martin Sillesen +39 more
TL;DR: In this paper, a machine learning model was used to predict risks at different stages of management and thereby provide insights into drivers and prognostic markers of disease progression and death from a cohort of approx 26 million citizens in Denmark.
Posted Content
Lung Segmentation from Chest X-rays using Variational Data Imputation
Raghavendra Selvan,Erik B. Dam,Nicki Skafte Detlefsen,Sofus Rischel,Kaining Sheng,Mads Nielsen,Akshay Pai +6 more
TL;DR: This work treats the high opacity regions of lungs from such abnormal CXRs as missing data and presents a modified CNN-based image segmentation network that utilizes a deep generative model for data imputation.