| Author |
Title |
Year |
Publication |
Volume |
Pages |
| 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 |
|
|
| Francisco Cruz; Oriol Ramos Terrades |
A probabilistic framework for handwritten text line segmentation |
2018 |
Arxiv |
|
|
| W.Win; B.Bao; Q.Xu; Luis Herranz; Shuqiang Jiang |
Editorial Note: Efficient Multimedia Processing Methods and Applications |
2019 |
Multimedia Tools and Applications |
78 |
|
| Estefania Talavera; Nicolai Petkov; Petia Radeva |
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos |
2019 |
Arxiv |
|
|
| Estefania Talavera; Petia Radeva; Nicolai Petkov |
Towards Emotion Retrieval in Egocentric PhotoStream |
2019 |
Arxiv |
|
|
| Alejandro Cartas; Jordi Luque; Petia Radeva; Carlos Segura; Mariella Dimiccoli |
How Much Does Audio Matter to Recognize Egocentric Object Interactions? |
2019 |
Arxiv |
|
|
| Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh; Syeda Furruka Banu; Farhan Akram; Forhad U. H. Chowdhury; Kabir Ahmed Choudhury; Sylvie Chambon; Petia Radeva; Domenec Puig |
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network |
2019 |
Arxiv |
|
|
| Debora Gil; Katerine Diaz; Carles Sanchez; Aura Hernandez-Sabate |
Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images |
2020 |
Arxiv |
|
|
| Oriol Ramos Terrades; Albert Berenguel; Debora Gil |
A flexible outlier detector based on a topology given by graph communities |
2020 |
Arxiv |
|
|
| Hannes Mueller; Andre Groger; Jonathan Hersh; Andrea Matranga; Joan Serrat |
Monitoring War Destruction from Space: A Machine Learning Approach |
2020 |
Arxiv |
|
|
| Soumick Chatterjee; Fatima Saad; Chompunuch Sarasaen; Suhita Ghosh; Rupali Khatun; Petia Radeva; Georg Rose; Sebastian Stober; Oliver Speck; Andreas Nürnberger |
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images |
2020 |
Arxiv |
|
|
| Estefania Talavera; Andreea Glavan; Alina Matei; Petia Radeva |
Eating Habits Discovery in Egocentric Photo-streams |
2020 |
Arxiv |
|
|
| Shiqi Yang; Yaxing Wang; Joost Van de Weijer; Luis Herranz |
Unsupervised Domain Adaptation without Source Data by Casting a BAIT |
2020 |
Arxiv |
|
|
| Shiqi Yang; Kai Wang; Luis Herranz; Joost Van de Weijer |
Simple and effective localized attribute representations for zero-shot learning |
2020 |
Arxiv |
|
|
| Mikel Menta; Adriana Romero; Joost Van de Weijer |
Learning to adapt class-specific features across domains for semantic segmentation |
2020 |
Arxiv |
|
|
