Vaanathi Sundaresan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images	2024	Vaanathi Sundaresan Nicola K. Dinsdale
+	Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images	2023	Shreyas H Ramananda Vaanathi Sundaresan
+	Challenges for machine learning in clinical translation of big data imaging studies	2022	Nicola K. Dinsdale Emma Bluemke Vaanathi Sundaresan Mark Jenkinson Stephen M. Smith Ana I. L. Namburete
+ PDF Chat	Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data	2022	Vaanathi Sundaresan Julia Lehman Sean P. Fitzgibbon Saâd Jbabdi Suzanne N. Haber Anastasia Yendiki
+	Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data	2022	Vaanathi Sundaresan Julia Lehman Sean P. Fitzgibbon Saâd Jbabdi Suzanne N. Haber Anastasia Yendiki
+ PDF Chat	Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images	2021	Vaanathi Sundaresan Ludovica Griffanti Mark Jenkinson
+	Challenges for machine learning in clinical translation of big data imaging studies	2021	Nicola K. Dinsdale Emma Bluemke Vaanathi Sundaresan Mark Jenkinson Stephen W. Smith Ana IL Namburete
+	Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference	2018	Vaanathi Sundaresan Ludovica Griffanti Petya Kindalova Fidel Alfaro-Almagro Giovanna Zamboni Peter M. Rothwell Thomas E. Nichols Mark Jenkinson
+ PDF Chat	Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference	2018	Vaanathi Sundaresan Ludovica Griffanti Petya Kindalova Fidel Alfaro-Almagro Giovanna Zamboni Peter M. Rothwell Thomas E. Nichols Mark Jenkinson

Common Coauthors

Coauthor	Papers Together
Mark Jenkinson	5
Nicola K. Dinsdale	3
Ludovica Griffanti	3
Petya Kindalova	2
Julia Lehman	2
Giovanna Zamboni	2
Saâd Jbabdi	2
Thomas E. Nichols	2
Sean P. Fitzgibbon	2
Fidel Alfaro-Almagro	2
Peter M. Rothwell	2
Emma Bluemke	2
Suzanne N. Haber	2
Anastasia Yendiki	2
Shreyas H Ramananda	1
Stephen W. Smith	1
Ana IL Namburete	1
Stephen M. Smith	1
Ana I. L. Namburete	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Gaussian Predictive Process Models for Large Spatial Data Sets	2008	Sudipto Banerjee Alan E. Gelfand Andrew O. Finley Huiyan Sang	2
+	Functional Generalized Linear Models with Images as Predictors	2009	Philip T. Reiss R. Todd Ogden	2
+ PDF Chat	Unsupervised domain adaptation for medical imaging segmentation with self-ensembling	2019	Christian S. Perone Pedro J. Ballester Rodrigo C. Barros Julien Cohen‐Adad	2
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	2
+ PDF Chat	Generalized Multilevel Functional Regression	2009	Ciprian M. Crainiceanu Ana‐Maria Staicu Chongzhi Di	2
+	Analysis of multiple sclerosis lesions via spatially varying coefficients	2014	Tian Ge Nicole Müller-Lenke Kerstin Bendfeldt Thomas E. Nichols Timothy D. Johnson	2
+ PDF Chat	Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets	2008	Cari G. Kaufman Mark J. Schervish Douglas Nychka	2
+ PDF Chat	The Simplex Gradient and Noisy Optimization Problems	1998	David M. Bortz C. T. Kelley	2
+ PDF Chat	Space-varying regression models: specifications and simulation	2003	Dani Gamerman Ajax Reynaldo Bello Moreira Håvard Rue	2
+	Convergence Conditions for Ascent Methods	1969	Philip Wolfe	2
+	Permutation inference for the general linear model	2014	Anderson M. Winkler Gerard R. Ridgway Matthew Webster Stephen M. Smith Thomas E. Nichols	2
+ PDF Chat	Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks	2018	Guotai Wang Wenqi Li Sébastien Ourselin Tom Vercauteren	1
+	Visualizing and Understanding Convolutional Neural Networks	2013	Matthew D. Zeiler Rob Fergus	1
+ PDF Chat	Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation	2018	Konstantinos Kamnitsas Wenjia Bai Enzo Ferrante Steven McDonagh Matthew Sinclair Nick Pawlowski Martin Rajchl Min Young Lee Bernhard Kainz Daniel Rueckert	1
+ PDF Chat	A Giant with Feet of Clay: On the Validity of the Data that Feed Machine Learning in Medicine	2018	Federico Cabitza Davide Ciucci Raffaele Rasoini	1
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	1
+	How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?	2015	Junghwan Cho Kyewook Lee Ellie Shin Garry Choy Synho Do	1
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	1
+ PDF Chat	DeepNAT: Deep convolutional neural network for segmenting neuroanatomy	2017	Christian Wachinger Martin Reuter Tassilo Klein	1
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	1
+ PDF Chat	Simultaneous Deep Transfer Across Domains and Tasks	2017	Judy Hoffman Eric Tzeng Trevor Darrell Kate Saenko	1
+ PDF Chat	Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation	2017	Lin Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Z. Chen	1
+ PDF Chat	Why rankings of biomedical image analysis competitions should be interpreted with care	2018	Lena Maier‐Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunović Andrew P. Bradley Aaron Carass	1
+ PDF Chat	Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules	2017	Xinyang Feng Jie Yang Andrew F. Laine Elsa D. Angelini	1
+ PDF Chat	Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks	2017	Konstantinos Kamnitsas Christian F. Baumgartner Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Aditya Nori Antonio Criminisi Daniel Rueckert	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+	Visual Feature Attribution using Wasserstein GANs	2017	Christian F. Baumgartner Lisa M. Koch Kerem Can Tezcan Jia Xi Ang Ender Konukoğlu	1
+	Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.	2016	Pavlo Molchanov Stephen Tyree Tero Karras Timo Aila Jan Kautz	1
+ PDF Chat	Refacing: Reconstructing Anonymized Facial Features Using GANS	2019	David Abramian Anders Eklund	1
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	1
+	Attention gated networks: Learning to leverage salient regions in medical images	2019	Jo Schlemper Ozan Oktay Michiel Schaap Mattias P. Heinrich‬ Bernhard Kainz Ben Glocker Daniel Rueckert	1
+	Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks	2019	Guotai Wang Wenqi Li Michaël Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren	1
+ PDF Chat	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	2019	Micah Sheller G. Anthony Reina Brandon Edwards Jason Martin Spyridon Bakas	1
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	1
+ PDF Chat	QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy	2018	Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger	1
+ PDF Chat	Do Better ImageNet Models Transfer Better?	2019	Simon Kornblith Jonathon Shlens Quoc V. Le	1
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	1
+	Is Texture Predictive for Age and Sex in Brain MRI?	2019	Nick Pawlowski Ben Glocker	1
+	PHiSeg: Capturing Uncertainty in Medical Image Segmentation	2019	Christian F. Baumgartner Kerem Can Tezcan Krishna Chaitanya Andreas M. Hötker Urs J. Muehlematter Khoschy Schawkat Anton S. Becker Olivio F. Donati Ender Konukoğlu	1
+ PDF Chat	Privacy-Preserving Machine Learning: Threats and Solutions	2019	Mohammad Al-Rubaie J. Morris Chang	1
+	Domain-Adversarial Training of Neural Networks	2015	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	1
+	Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation	2017	Lin Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Z. Chen	1
+	Sanity Checks for Saliency Maps	2018	Julius Adebayo Justin Gilmer Michael Muelly Ian Goodfellow Moritz Hardt Been Kim	1
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+	The Impact of an Inter-rater Bias on Neural Network Training	2019	Or Shwartzman Harel Gazit Ilan Shelef Tammy Riklin Raviv	1
+ PDF Chat	Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification	2019	Moritz Böhle Fabian Eitel Martin Weygandt Kerstin Ritter	1
+	DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks	2016	Martin Rajchl Matthew C. H. Lee Ozan Oktay Konstantinos Kamnitsas Jonathan Passerat‐Palmbach Wenjia Bai Mellisa Damodaram Mary Rutherford Joseph V. Hajnal Bernhard Kainz	1