Raghavendra Selvan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 54

Top Topics

Medical Image Segmentation

Energy Consumption

Image Segmentation

Top Venues

Publications

Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search. ICASSP (2024)
Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning. CoRR (2024)
Tong Chen, Raghavendra Selvan
Is Adversarial Training with Compressed Datasets Effective? CoRR (2024)
Sebastian Eliassen, Raghavendra Selvan
Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization. ICASSP (2024)
Frederik L. Johansen, Andy S. Anker, Ulrik Friis-Jensen, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan
A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation. J. Open Source Softw. 9 (96) (2024)
Hallgrimur Thorsteinsson, Valdemar J. Henriksen, Tong Chen, Raghavendra Selvan
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency. CoRR (2024)
Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR (2024)
Dustin Wright, Christian Igel, Raghavendra Selvan
BMRS: Bayesian Model Reduction for Structured Pruning. CoRR (2024)
Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning. KDD (2024)
Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
Equity through Access: A Case for Small-scale Deep Learning. CoRR (2024)
Sebastian Eliassen, Raghavendra Selvan
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization. CoRR (2023)
Raghavendra Selvan, Julian Schön, Erik B. Dam
Operating critical machine learning models in resource constrained regimes. CoRR (2023)
Julian Schön, Raghavendra Selvan, Lotte Nygård, Ivan Richter Vogelius, Jens Petersen
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis. CoRR (2023)
Raghavendra Selvan, Julian Schön, Erik B. Dam
Operating Critical Machine Learning Models in Resource Constrained Regimes. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI. CoRR (2023)
Nicklas Boserup, Raghavendra Selvan
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. NLDL (2023)
Julian Schön, Raghavendra Selvan, Jens Petersen
Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods. DGM4MICCAI@MICCAI (2022)
Haozhe Luo, Changdong Yu, Raghavendra Selvan
Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation. MIDL (2022)
Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan
Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space. WBIR (2022)
Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search. CoRR (2022)
Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. MICCAI (5) (2022)
Nicklas Boserup, Raghavendra Selvan
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. CoRR (2022)
Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. CoRR (2022)
Julian Schön, Raghavendra Selvan, Jens Petersen
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods. CoRR (2022)
Raghavendra Selvan, Erik B. Dam, Jens Petersen
Segmenting Two-Dimensional Structures with Strided Tensor Networks. IPMI (2021)
Manh Cuong Ngô, Raghavendra Selvan, Outi Tervo, Mads Peter Heide-Jørgensen, Susanne Ditlevsen
Detection of foraging behavior from accelerometer data using U-Net type convolutional networks. Ecol. Informatics 62 (2021)
Klas Rydhmer, Raghavendra Selvan
Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals. CoRR (2021)
Klas Rydhmer, Raghavendra Selvan
-VAEs for quantifying biodiversity by clustering optically recorded insect signals. Ecol. Informatics 66 (2021)
Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan
Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space. CoRR (2021)
Raghavendra Selvan, Erik B. Dam, Søren Alexander Flensborg, Jens Petersen
Patch-based medical image segmentation using Quantum Tensor Networks. CoRR (2021)
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Harm A. W. M. Tiddens, Marleen de Bruijne
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks. CoRR (2021)
Raghavendra Selvan, Erik B. Dam, Jens Petersen
Segmenting two-dimensional structures with strided tensor networks. CoRR (2021)
Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR (2020)
Raghavendra Selvan, Silas Ørting, Erik B. Dam
Locally orderless tensor networks for classifying two- and three-dimensional medical images. CoRR (2020)
Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. 64 (2020)
Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows. MLMI@MICCAI (2020)
Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
Uncertainty quantification in medical image segmentation with Normalizing Flows. CoRR (2020)
Raghavendra Selvan, Erik B. Dam
Tensor Networks for Medical Image Classification. MIDL (2020)
Lasse F. Wolff Anthony, Benjamin Kanding, Raghavendra Selvan
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. CoRR (2020)
Raghavendra Selvan, Silas Ørting, Erik B. Dam
Multi-layered tensor networks for image classification. CoRR (2020)
Raghavendra Selvan, Erik B. Dam
Tensor Networks for Medical Image Classification. CoRR (2020)
Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging 38 (7) (2019)
Abraham George Smith, Jens Petersen, Raghavendra Selvan, Camilla Ruø Rasmussen
Segmentation of Roots in Soil with U-Net. CoRR (2019)
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs. CoRR (2019)
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. MLMI@MICCAI (2019)
Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR (2018)
Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. MICCAI (2) (2018)
Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
Extraction of Airways using Graph Neural Networks. CoRR (2018)
Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. CoRR (2018)
Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
Mean Field Network based Graph Refinement with application to Airway Tree Extraction. CoRR (2018)
Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR (2017)
Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. GRAIL/MFCA/MICGen@MICCAI (2017)
Abu Sajana Rahmathullah, Raghavendra Selvan, Lennart Svensson
A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization. IEEE Trans. Signal Process. 64 (18) (2016)
Raghavendra Selvan, Jens Petersen, Jesper Johannes Holst Pedersen, Marleen de Bruijne
Extraction of airway trees using multiple hypothesis tracking and template matching. CoRR (2016)