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	Author	Title	Year	Publication	Volume	Pages	Links
	Spyridon Bakas; Mauricio Reyes; Andras Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; Jana Lipkova; John Freymann; Justin Kirby; Michel Bilello; Hassan Fathallah-Shaykh; Roland Wiest; Jan Kirschke; Benedikt Wiestler; Rivka Colen; Aikaterini Kotrotsou; Pamela Lamontagne; Daniel Marcus; Mikhail Milchenko; Arash Nazeri; Marc-Andre Weber; Abhishek Mahajan; Ujjwal Baid; Dongjin Kwon; Manu Agarwal; Mahbubul Alam; Alberto Albiol; Antonio Albiol; Varghese Alex; Tuan Anh Tran; Tal Arbel; Aaron Avery; Subhashis Banerjee; Thomas Batchelder; Kayhan Batmanghelich; Enzo Battistella; Martin Bendszus; Eze Benson; Jose Bernal; George Biros; Mariano Cabezas; Siddhartha Chandra; Yi-Ju Chang; Joseph Chazalon; Shengcong Chen; Wei Chen; Jefferson Chen; Kun Cheng; Meinel Christoph; Roger Chylla; Albert Clérigues; Anthony Costa; Xiaomeng Cui; Zhenzhen Dai; Lutao Dai; Eric Deutsch; Changxing Ding; Chao Dong; Wojciech Dudzik; Theo Estienne; Hyung Eun Shin; Richard Everson; Jonathan Fabrizio; Longwei Fang; Xue Feng; Lucas Fidon; Naomi Fridman; Huan Fu; David Fuentes; David G Gering; Yaozong Gao; Evan Gates; Amir Gholami; Mingming Gong; Sandra Gonzalez-Villa; J Gregory Pauloski; Yuanfang Guan; Sheng Guo; Sudeep Gupta; Meenakshi H Thakur; Klaus H Maier-Hein; Woo-Sup Han; Huiguang He; Aura Hernandez-Sabate; Evelyn Herrmann; Naveen Himthani; Winston Hsu; Cheyu Hsu; Xiaojun Hu; Xiaobin Hu; Yan Hu; Yifan Hu; Rui Hua	Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge	2018	Arxiv
	Cesar de Souza; Adrien Gaidon; Eleonora Vig; Antonio Lopez	System and method for video classification using a hybrid unsupervised and supervised multi-layer architecture	2018	US9946933B2
	Chris Bahnsen; David Vazquez; Antonio Lopez; Thomas B. Moeslund	Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data	2019	14th International Conference on Computer Vision Theory and Applications		123-130
	Jiaolong Xu; Liang Xiao; Antonio Lopez	Self-supervised Domain Adaptation for Computer Vision Tasks	2019	IEEE Access	7	156694 - 156706
	Zhijie Fang; Antonio Lopez	Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation	2019	IEEE Transactions on Intelligent Transportation Systems	21	4773 - 4783
	Felipe Codevilla	On Building End-to-End Driving Models Through Imitation Learning	2019	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Zhijie Fang	Behavior understanding of vulnerable road users by 2D pose estimation	2019	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Akhil Gurram; Ahmet Faruk Tuna; Fengyi Shen; Onay Urfalioglu; Antonio Lopez	Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision	2021	IEEE Transactions on Intelligent Transportation Systems	23	12738-12751
	Gabriel Villalonga	Leveraging Synthetic Data to Create Autonomous Driving Perception Systems	2021	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Yi Xiao; Felipe Codevilla; Christopher Pal; Antonio Lopez	Action-Based Representation Learning for Autonomous Driving	2020	Conference on Robot Learning
	Gabriel Villalonga; Antonio Lopez	Co-Training for On-Board Deep Object Detection	2020	IEEE Access		194441 - 194456
	Hannes Mueller; Andre Groger; Jonathan Hersh; Andrea Matranga; Joan Serrat	Monitoring War Destruction from Space: A Machine Learning Approach	2020	Arxiv
	Jose Luis Gomez; Gabriel Villalonga; Antonio Lopez	Co-Training for Deep Object Detection: Comparing Single-Modal and Multi-Modal Approaches	2021	Sensors	21	3185
	Hannes Mueller; Andre Groeger; Jonathan Hersh; Andrea Matranga; Joan Serrat	Monitoring war destruction from space using machine learning	2021	Proceedings of the National Academy of Sciences of the United States of America	118	e2025400118
	Katerine Diaz; Jesus Martinez del Rincon; Aura Hernandez-Sabate	Decremental generalized discriminative common vectors applied to images classification	2017	Knowledge-Based Systems	131	46-57

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