Julie Victor

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All published works

Action	Title	Year	Authors
+ PDF Chat	Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Édouard Duchesnay
+	Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning.	2021	Benoît Dufumier Pietro Gori Ilaria Battaglia Julie Victor Antoine Grigis Édouard Duchesnay
+ PDF Chat	Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Michèle Wessa Paolo Brambilla Pauline Favre Mircea Polosan Colm McDonald Camille Piguet
+	Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Édouard Duchesnay
+	Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Michel Wessa Paolo Brambilla Pauline Favre Mircea Polosan Colm McDonald Camille Piguet
+	Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning	2021	Benoît Dufumier Pietro Gori Ilaria Battaglia Julie Victor Antoine Grigis Édouard Duchesnay

Common Coauthors

Coauthor	Papers Together
Pietro Gori	6
Antoine Grigis	6
Benoît Dufumier	6
Édouard Duchesnay	6
Pauline Favre	2
Ilaria Battaglia	2
Mircea Polosan	2
Camille Piguet	2
Paolo Brambilla	2
Colm McDonald	2
Michèle Wessa	1
Mary Phillips	1
Lisa T. Eyler	1
Michel Wessa	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	3
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+	Debiased Contrastive Learning	2020	Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka	2
+	Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation	2020	Junhao Wen Elina Thibeau–Sutre Mauricio Diaz-Melo Jorge Samper‐Gonzàlez Alexandre Routier Simona Bottani Didier Dormont Stanley Durrleman Ninon Burgos Olivier Colliot	2
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	2
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	2
+ PDF Chat	Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker	2017	James H. Cole Rudra P. K. Poudel Dimosthenis Tsagkrasoulis Matthan W.A. Caan Claire J. Steves Tim D. Spector Giovanni Montana	1
+ PDF Chat	Residual and plain convolutional neural networks for 3D brain MRI classification	2017	Sergey Korolev Amir Safiullin Mikhail Belyaev Yulia Dodonova	1
+	Quicksilver: Fast predictive image registration – A deep learning approach	2017	Xiao Yang Roland Kwitt Martin Styner Marc Niethammer	1
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	1
+	Women also Snowboard: Overcoming Bias in Captioning Models	2018	Kaylee Burns Lisa Anne Hendricks Kate Saenko Trevor Darrell Anna Rohrbach	1
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+	Colorization as a Proxy Task for Visual Understanding	2017	Gustav Larsson Michael Maire Gregory Shakhnarovich	1
+	Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging	2018	Yaroslav Shmulev Mikhail Belyaev	1
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision	2017	Alex Kendall Yarin Gal	1
+	Fast R-CNN	2015	Ross Girshick	1
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	1
+ PDF Chat	Women Also Snowboard: Overcoming Bias in Captioning Models	2018	Lisa Anne Hendricks Kaylee Burns Kate Saenko Trevor Darrell Anna Rohrbach	1
+ PDF Chat	Learning Not to Learn: Training Deep Neural Networks With Biased Data	2019	Byungju Kim Hyunwoo Kim Kyungsu Kim Sung-Jin Kim Junmo Kim	1
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	1
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading	2019	Jaakko Sahlsten Joel Jaskari Jyri Kivinen Lauri Turunen Esa Jaanio Kustaa Hietala Kimmo Kaski	1
+	Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects	2019	Ben Glocker R. H. Robinson Daniel C. Castro Qi Dou Ender Konukoğlu	1
+ PDF Chat	Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube	2019	Xinrui Zhuang Yuexiang Li Yifan Hu Kai Ma Yujiu Yang Yefeng Zheng	1
+	A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks	2019	Angelos Filos Sebastian Farquhar Aidan N. Gomez Tim G. J. Rudner Zachary Kenton Lewis Smith Milad Alizadeh Arnoud de Kroon Yarin Gal	1
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	1
+ PDF Chat	Detect and correct bias in multi-site neuroimaging datasets	2020	Christian Wachinger Anna Rieckmann Sebastian Pölsterl	1
+	Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls	2020	Mengjiao Hu Kang Sim Juan Zhou Xudong Jiang Cuntai Guan	1
+	TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning	2021	Fernando Pérez‐García Rachel Sparks Sébastien Ourselin	1
+ PDF Chat	Models Genesis	2020	Zongwei Zhou Vatsal Sodha Jiaxuan Pang Michael B. Gotway Jianming Liang	1
+	Bootstrap your own latent: A new approach to self-supervised Learning	2020	Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre H. Richemond Elena Buchatskaya Carl Doersch Bernardo Ávila Pires Zhaohan Daniel Guo Mohammad Gheshlaghi Azar	1
+ PDF Chat	Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision	2020	Fredrik Gustafsson Martin Danelljan Thomas B. Schön	1
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin	1
+	Concrete Dropout	2017	Yarin Gal Jiri Hron Alex Kendall	1
+ PDF Chat	Revisiting Rubik’s Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation	2020	Tao Xing Yuexiang Li Wenhui Zhou Kai Ma Yefeng Zheng	1
+ PDF Chat	A survey of cross-validation procedures for model selection	2010	Sylvain Arlot Alain Célisse	1
+	Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere	2020	Tongzhou Wang Phillip Isola	1
+ PDF Chat	Big Self-Supervised Models Advance Medical Image Classification	2021	Shekoofeh Azizi Basil Mustafa Fiona Ryan Zachary Beaver Jan Freyberg Jonathan Deaton Aaron Loh Alan Karthikesalingam Simon Kornblith Ting Chen	1
+	CO2: Consistent Contrast for Unsupervised Visual Representation Learning	2020	Chen Wei Huiyu Wang Wei Shen Alan Yuille	1
+	EnD: Entangling and Disentangling deep representations for bias correction.	2021	Enzo Tartaglione Carlo Alberto Barbano Marco Grangetto	1
+ PDF Chat	Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation	2021	Karim Armanious Sherif Abdulatif Wenbin Shi Shashank Salian Thomas Küstner Daniel Weiskopf Tobias Hepp Sergios Gatidis Bin Yang	1
+	MoCo-Pretraining Improves Representations and Transferability of Chest X-ray Models	2021	Hari Sowrirajan Jing Yang Andrew Y. Ng Pranav Rajpurkar	1
+ PDF Chat	EnD: Entangling and Disentangling deep representations for bias correction	2021	Enzo Tartaglione Carlo Alberto Barbano Marco Grangetto	1
+ PDF Chat	Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Michèle Wessa Paolo Brambilla Pauline Favre Mircea Polosan Colm McDonald Camille Piguet	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	1
+ PDF Chat	Brain tumor segmentation with Deep Neural Networks	2016	Mohammad Havaei Axel Davy David Warde-Farley Antoine Biard Aaron Courville Yoshua Bengio Chris Pal Pierre-Marc Jodoin Hugo Larochelle	1