Colm McDonald

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All published works

Action	Title	Year	Authors
+	Uncinate fasciculus microstructural organisation and emotion recognition in schizophrenia: controlling for hit rate bias	2024	Matthew Stevens Síle Ní Mhurchú Emma Corley Ciara Egan Brian Hallahan Colm McDonald Gary Donohoe Tom Burke
+ 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
+	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

Common Coauthors

Coauthor	Papers Together
Édouard Duchesnay	2
Antoine Grigis	2
Paolo Brambilla	2
Mircea Polosan	2
Camille Piguet	2
Julie Victor	2
Benoît Dufumier	2
Pietro Gori	2
Pauline Favre	2
Matthew Stevens	1
Ciara Egan	1
Mary Phillips	1
Tom Burke	1
Michel Wessa	1
Gary Donohoe	1
Lisa T. Eyler	1
Brian Hallahan	1
Emma Corley	1
Síle Ní Mhurchú	1
Michèle Wessa	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Twin studies in schizophrenia with special emphasis on concordance figures	2000	Einar Kringlen	1
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	1
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	1
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	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	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 Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	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	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	1
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin	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
+	Debiased Contrastive Learning	2020	Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka	1
+	CO2: Consistent Contrast for Unsupervised Visual Representation Learning	2020	Chen Wei Huiyu Wang Wei Shen Alan Yuille	1
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	1