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Raghavendra Selvan
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- affiliation: University of Copenhagen, Denmark
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2020 – today
- 2024
- [j6]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): 6024 (2024) - [c15]Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan:
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search. ICASSP 2024: 5660-5664 - [c14]Sebastian Eliassen, Raghavendra Selvan:
Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization. ICASSP 2024: 7430-7434 - [c13]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: 4962-4973 - [i33]Tong Chen, Raghavendra Selvan:
Is Adversarial Training with Compressed Datasets Effective? CoRR abs/2402.05675 (2024) - [i32]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 abs/2402.13221 (2024) - [i31]Hallgrimur Thorsteinsson, Valdemar J. Henriksen, Tong Chen, Raghavendra Selvan:
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency. CoRR abs/2403.09441 (2024) - [i30]Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam:
Equity through Access: A Case for Small-scale Deep Learning. CoRR abs/2403.12562 (2024) - [i29]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 abs/2405.18435 (2024) - [i28]Dustin Wright, Christian Igel, Raghavendra Selvan:
BMRS: Bayesian Model Reduction for Structured Pruning. CoRR abs/2406.01345 (2024) - 2023
- [c12]Raghavendra Selvan, Julian Schön, Erik B. Dam:
Operating Critical Machine Learning Models in Resource Constrained Regimes. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 325-335 - [c11]Nicklas Boserup, Raghavendra Selvan:
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. NLDL 2023 - [i27]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 abs/2301.05465 (2023) - [i26]Raghavendra Selvan, Julian Schön, Erik B. Dam:
Operating critical machine learning models in resource constrained regimes. CoRR abs/2303.10181 (2023) - [i25]Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan:
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI. CoRR abs/2309.02065 (2023) - [i24]Sebastian Eliassen, Raghavendra Selvan:
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization. CoRR abs/2309.11856 (2023) - 2022
- [c10]Julian Schön, Raghavendra Selvan, Jens Petersen:
Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods. DGM4MICCAI@MICCAI 2022: 24-33 - [c9]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: 506-516 - [c8]Haozhe Luo, Changdong Yu, Raghavendra Selvan:
Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation. MIDL 2022: 808-819 - [c7]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: 166-176 - [i23]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 abs/2203.02202 (2022) - [i22]Julian Schön, Raghavendra Selvan, Jens Petersen:
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods. CoRR abs/2207.09740 (2022) - [i21]Nicklas Boserup, Raghavendra Selvan:
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. CoRR abs/2208.10779 (2022) - [i20]Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan:
Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search. CoRR abs/2210.06015 (2022) - 2021
- [j5]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: 101275 (2021) - [j4]Klas Rydhmer, Raghavendra Selvan:
Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals. Ecol. Informatics 66: 101456 (2021) - [c6]Raghavendra Selvan, Erik B. Dam, Jens Petersen:
Segmenting Two-Dimensional Structures with Strided Tensor Networks. IPMI 2021: 401-414 - [i19]Klas Rydhmer, Raghavendra Selvan:
Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals. CoRR abs/2102.05526 (2021) - [i18]Raghavendra Selvan, Erik B. Dam, Jens Petersen:
Segmenting two-dimensional structures with strided tensor networks. CoRR abs/2102.06900 (2021) - [i17]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 abs/2103.16328 (2021) - [i16]Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan:
Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space. CoRR abs/2109.06662 (2021) - [i15]Raghavendra Selvan, Erik B. Dam, Søren Alexander Flensborg, Jens Petersen:
Patch-based medical image segmentation using Quantum Tensor Networks. CoRR abs/2109.07138 (2021) - 2020
- [j3]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: 101751 (2020) - [c5]Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai:
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows. MLMI@MICCAI 2020: 80-90 - [c4]Raghavendra Selvan, Erik B. Dam:
Tensor Networks for Medical Image Classification. MIDL 2020: 721-732 - [i14]Raghavendra Selvan, Erik B. Dam:
Tensor Networks for Medical Image Classification. CoRR abs/2004.10076 (2020) - [i13]Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai:
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR abs/2005.10052 (2020) - [i12]Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai:
Uncertainty quantification in medical image segmentation with Normalizing Flows. CoRR abs/2006.02683 (2020) - [i11]Lasse F. Wolff Anthony, Benjamin Kanding, Raghavendra Selvan:
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. CoRR abs/2007.03051 (2020) - [i10]Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam:
Locally orderless tensor networks for classifying two- and three-dimensional medical images. CoRR abs/2009.12280 (2020) - [i9]Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam:
Multi-layered tensor networks for image classification. CoRR abs/2011.06982 (2020)
2010 – 2019
- 2019
- [j2]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): 1559-1568 (2019) - [c3]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: 583-591 - [i8]Abraham George Smith, Jens Petersen, Raghavendra Selvan, Camilla Ruø Rasmussen:
Segmentation of Roots in Soil with U-Net. CoRR abs/1902.11050 (2019) - [i7]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 abs/1908.08588 (2019) - 2018
- [c2]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: 750-758 - [i6]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 abs/1804.03348 (2018) - [i5]Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Extraction of Airways using Graph Neural Networks. CoRR abs/1804.04436 (2018) - [i4]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR abs/1806.08981 (2018) - [i3]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 abs/1811.08674 (2018) - 2017
- [c1]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: 53-63 - [i2]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR abs/1708.02096 (2017) - 2016
- [j1]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): 4792-4804 (2016) - [i1]Raghavendra Selvan, Jens Petersen, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Extraction of airway trees using multiple hypothesis tracking and template matching. CoRR abs/1611.08131 (2016)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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