Raghavendra Selvan

发表

Mean Field Network based Graph Refinement with application to Airway Tree Extraction

Max Welling, Marleen de Bruijne, Jens Petersen, 2018, MICCAI.

Extraction of Airways from Volumetric Data

Raghavendra Selvan, 2018 .

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Christina Lioma, Akshay Pai, Bulat Ibragimov, 2020, Scientific Reports.

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Lasse F. Wolff Anthony, E. Dam, Raghavendra Selvan, 2022, MICCAI.

Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

C. Igel, Raghavendra Selvan, Pedram Bakhtiarifard, 2022, ArXiv.

DeepStruc: towards structure solution from pair distribution function data using deep generative models

Raghavendra Selvan, K. Jensen, S. Billinge, 2022, Digital discovery.

Bayesian tracking of multiple point targets using expectation maximization

Raghavendra Selvan, Raghavendra Selvan, 2015 .

Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals

Raghavendra Selvan, Klas Rydhmer, 2021, Ecol. Informatics.

Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning

Raghavendra Selvan, T. Christiansen, K. Jensen, 2022, npj Computational Materials.

Lung Segmentation from Chest X-rays using Variational Data Imputation

M. Nielsen, A. Pai, E. Dam, 2020, ArXiv.

Segmentation of roots in soil with U-Net

Jens Petersen, Abraham George Smith, Raghavendra Selvan, 2019, Plant Methods.

Locomotor deficits in a mouse model of ALS are paralleled by loss of V1-interneuron connections onto fast motor neurons

O. Kiehn, P. Löw, Raghavendra Selvan, 2021, Nature Communications.

Locomotor deficits in a mouse model of ALS are paralleled by loss of V1-interneuron connections onto fast motor neurons

O. Kiehn, P. Löw, Raghavendra Selvan, 2021, Nature Communications.

Operating critical machine learning models in resource constrained regimes

Raghavendra Selvan, Julian Schön, Erik Dam, 2023, MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI.

Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models pdf

Raghavendra Selvan, Lasse F. Wolff Anthony, Benjamin Kanding, 2020, ArXiv.

Segmentation of roots in soil with U-Net

Abraham George Smith, Raghavendra Selvan, C. Rasmussen, 2020, Plant Methods.

Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies

Marleen de Bruijne, Mads Nielsen, Jens Petersen, 2019, IEEE Transactions on Medical Imaging.

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Andreas D. Lauritzen, Abraham George Smith, Marleen de Bruijne, 2021, Scientific reports.

Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation

Raghavendra Selvan, Luo Haozhe, 2022, MIDL.

Uncertainty quantification in medical image segmentation with Normalizing Flows

Akshay Pai, Raghavendra Selvan, Frederik Faye, 2020, MLMI@MICCAI.

Locomotor deficits in ALS mice are paralleled by loss of V1-interneuron-connections onto fast motor neurons

O. Kiehn, P. Löw, Raghavendra Selvan, 2020, bioRxiv.

A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization

Lennart Svensson, Raghavendra Selvan, Abu Sajana Rahmathullah, 2016, IEEE Transactions on Signal Processing.

Detection of foraging behavior from accelerometer data using U-Net type convolutional networks

Raghavendra Selvan, Susanne Ditlevsen, Manh Cuong Ngo, 2021, Ecol. Informatics.

Stabilization of V1 interneuron-motor neuron connectivity ameliorates motor phenotype in a mouse model of ALS

Raghavendra Selvan, I. Allodi, A. T. Sørensen, 2022, bioRxiv.

Tensor Networks for Medical Image Classification pdf

Raghavendra Selvan, Erik B Dam, E. Dam, 2020, MIDL.

Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

Raghavendra Selvan, Nicklas Boserup, 2022, NLDL.

Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks

Soren Alexander Flensborg, E. Dam, Raghavendra Selvan, 2021, Machine Learning for Biomedical Imaging.

Patch-based medical image segmentation using Quantum Tensor Networks pdf

Jens Petersen, Raghavendra Selvan, Erik B Dam, 2021, ArXiv.

EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search

C. Igel, Raghavendra Selvan, Pedram Bakhtiarifard, 2022, 2210.06015.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs pdf

Marleen de Bruijne, Raghavendra Selvan, Zaigham Saghir, 2019, MLMI@MICCAI.

Pedunculopontine Chx10+ neurons control global motor arrest in mice

O. Kiehn, Raghavendra Selvan, R. Leiras, 2023, Nature Neuroscience.

Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses

Marleen de Bruijne, Jens Petersen, Raghavendra Selvan, 2018, Medical physics.

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

C. Igel, Raghavendra Selvan, Dustin Wright, 2023, ArXiv.

Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

I. Vogelius, Raghavendra Selvan, Jens Petersen, 2023, ArXiv.

Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods

Raghavendra Selvan, Jens Petersen, Julian Schon, 2022, DGM4MICCAI@MICCAI.

Predicting lake bathymetry from the topography of the surrounding terrain using deep learning

K. Sand‐Jensen, Raghavendra Selvan, Kenneth Thorø Martinsen, 2023, Limnology and Oceanography: Methods.

Locally orderless tensor networks for classifying two- and three-dimensional medical images

E. Dam, Raghavendra Selvan, S. Orting, 2020, Machine Learning for Biomedical Imaging.

Spinal inhibitory neurons degenerate before motor neurons and excitatory neurons in a mouse model of ALS

Raghavendra Selvan, I. Allodi, Roser Montañana-Rosell, 2023, bioRxiv.

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Lasse F. Wolff Anthony, E. Dam, Raghavendra Selvan, 2022, MICCAI.

Is Adversarial Training with Compressed Datasets Effective?

Raghavendra Selvan, Tong Chen, 2024, 2402.05675.

Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency

Raghavendra Selvan, Tong Chen, Hallgrimur Thorsteinsson, 2024, arXiv.org.

Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization

Raghavendra Selvan, Sebastian Eliassen, 2023, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search

Raghavendra Selvan, Pedram Bakhtiarifard, Christian Igel, 2022, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging

Raghavendra Selvan, Nicholas E. Souter, Gabrielle Samuel, 2023, Imaging Neuroscience.