Antonio Pertusa

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All published works

Action	Title	Year	Authors
+ PDF Chat	PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation	2024	Daniel C. Castro Aurelia Bustos Shruthi Bannur Stephanie L. Hyland Kenza Bouzid Maria Wetscherek Maria Dolores Sánchez-Valverde Lara Jaques-Pérez Lourdes Pérez-Rodríguez Kenji Takeda
+	Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study	2024	Alejandro Galán-Cuenca Antonio‐Javier Gallego Marcelo Saval-Calvo Antonio Pertusa
+	Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features	2022	Marisa Bernabeu Antonio‐Javier Gallego Antonio Pertusa
+ PDF Chat	Medical imaging data structure extended to multiple modalities and anatomical regions	2020	J. M. Saborit-Torres Jhon Jairo Sáenz-Gamboa Joaquim Ángel Montell-Serrano José María Salinas J. A. Gómez I. Stefan María Jesús Morales Caparrós Fernando García-García Julio Doménech José V. Manjón
+ PDF Chat	PadChest: A large chest x-ray image dataset with multi-label annotated reports	2020	Aurelia Bustos Antonio Pertusa José María Salinas María de la Iglesia-Vayá
+	BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients	2020	Vayá MdlI Saborit Jm Montell Ja Antonio Pertusa Aurelia Bustos Miguel Cazorla J. Galant Xavier Barber Domingo Orozco‐Beltrán Fernando García-García
+	UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays	2020	Germán González Aurelia Bustos José María Salinas María de la Iglesia-Vayá J. Galant Carlos Cano-Espinosa Xavier Barber Domingo Orozco‐Beltrán Miguel Cazorla Antonio Pertusa
+	Medical imaging data structure extended to multiple modalities and anatomical regions	2020	J. M. Saborit-Torres Jhon Jairo Sáenz-Gamboa Joaquim Ángel Montell-Serrano José María Salinas J. A. Gómez I. Stefan María Jesús Morales Caparrós Fernando García-García Julio Doménech José V. Manjón
+	BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients	2020	María de la Iglesia-Vayá Jose Manuel Saborit Joaquim Ángel Montell-Serrano Antonio Pertusa Aurelia Bustos Miguel Cazorla J. Galant Xavier Barber Domingo Orozco‐Beltrán Francisco J. García‐García
+	A holistic approach to polyphonic music transcription with neural networks.	2019	Miguel A. Román Antonio Pertusa Jorge Calvo-Zaragoza
+	A holistic approach to polyphonic music transcription with neural networks	2019	Miguel A. Román Antonio Pertusa Jorge Calvo-Zaragoza
+ PDF Chat	Learning Eligibility in Cancer Clinical Trials Using Deep Neural Networks	2018	Aurelia Bustos Antonio Pertusa
+	Learning Eligibility in Clinical Cancer Trials using Deep Neural Networks	2018	Aurelia Bustos Antonio Pertusa
+ PDF Chat	MirBot: A collaborative object recognition system for smartphones using convolutional neural networks	2018	Antonio Pertusa Antonio‐Javier Gallego Marisa Bernabeu

Common Coauthors

Coauthor	Papers Together
Aurelia Bustos	9
Germán González	5
José María Salinas	5
J. Galant	5
María de la Iglesia-Vayá	5
Domingo Orozco‐Beltrán	3
Xavier Barber	3
Antonio‐Javier Gallego	3
Joaquim Ángel Montell-Serrano	3
Miguel Cazorla	3
María Jesús Morales Caparrós	3
Fernando García-García	3
José V. Manjón	2
I. Stefan	2
Marisa Bernabeu	2
J. M. Saborit-Torres	2
Jhon Jairo Sáenz-Gamboa	2
Julio Doménech	2
Gonzalo Rojas	2
Jorge Calvo-Zaragoza	2
Miguel A. Román	2
J. A. Gómez	2
Francisco J. García‐García	1
Salinas Jm	1
Stephanie L. Hyland	1
M.a Jesús Morales Caparrós	1
Vayá MdlI	1
Maria Dolores Sánchez-Valverde	1
Kenza Bouzid	1
Shruthi Bannur	1
J. Herrero	1
Maria Wetscherek	1
Montell Ja	1
Daniel C. Castro	1
Jose Manuel Saborit	1
Carlos Cano-Espinosa	1
Lara Jaques-Pérez	1
Lourdes Pérez-Rodríguez	1
Marcelo Saval-Calvo	1
Saborit Jm	1
Javier Alvarez-Valle	1
José María Lozano Salinas	1
Kenji Takeda	1
Alejandro Galán-Cuenca	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	MIMIC-CXR: A large publicly available database of labeled chest radiographs	2019	Alistair E. W. Johnson Tom Pollard Seth J. Berkowitz Nathaniel R. Greenbaum Matthew P. Lungren Chih-Ying Deng Roger G. Mark Steven Horng	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Bag of Tricks for Efficient Text Classification	2017	Armand Joulin Édouard Grave Piotr Bojanowski Tomáš Mikolov	2
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+	CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning	2017	Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta Tony Duan Daisy Yi Ding Aarti Bagul Curtis P. Langlotz Katie Shpanskaya	2
+ PDF Chat	The Measurement of Observer Agreement for Categorical Data	1977	J. Richard Landis Gary G. Koch	2
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	2
+	Explainable Prediction of Medical Codes from Clinical Text	2018	James Mullenbach Sarah Wiegreffe Jon Duke Jimeng Sun Jacob Eisenstein	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+ PDF Chat	PadChest: A large chest x-ray image dataset with multi-label annotated reports	2020	Aurelia Bustos Antonio Pertusa José María Salinas María de la Iglesia-Vayá	2
+ PDF Chat	Enriching Word Vectors with Subword Information	2017	Piotr Bojanowski Édouard Grave Armand Joulin Tomáš Mikolov	2
+ PDF Chat	An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition	2016	Baoguang Shi Xiang Bai Cong Yao	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+	Good Practice in CNN Feature Transfer	2016	Liang Zheng Yali Zhao Shengjin Wang Jingdong Wang Qi Tian	1
+	Features Fusion for Classification of Logos	2016	N. Vinay Kumar Pratheek V. Vijaya Kantha Kalpana Govindaraju D. S. Guru	1
+	Bag of Tricks for Efficient Text Classification	2016	Armand Joulin Édouard Grave Piotr Bojanowski Tomáš Mikolov	1
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang	1
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet	1
+ PDF Chat	Deep learning for logo recognition	2017	Simone Bianco Marco Buzzelli Davide Mazzini Raimondo Schettini	1
+	A Large-scale Dataset and Benchmark for Similar Trademark Retrieval	2017	Osman Tursun Cemal Aker Sinan Kalkan	1
+ PDF Chat	Rhythm Transcription of Polyphonic Piano Music Based on Merged-Output HMM for Multiple Voices	2017	Eita Nakamura Kazuyoshi Yoshii Shigeki Sagayama	1
+ PDF Chat	Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations	2016	Kevin Zhang Dina Demner‐Fushman	1
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	1
+	Mixed Precision Training	2017	Paulius Micikevicius Sharan Narang Jonah Alben Gregory Diamos Erich Elsen David García Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+	NegBio: a high-performance tool for negation and uncertainty detection in radiology reports	2017	Yifan Peng Xiaosong Wang Le Lü Mohammadhadi Bagheri Ronald M. Summers Zhiyong Lu	1
+	Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification	2018	Qingji Guan Yaping Huang Zhun Zhong Zhedong Zheng Liang Zheng Yi Yang	1
+	A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay	2018	Leslie N. Smith	1
+ PDF Chat	Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study	2018	John R. Zech Marcus A. Badgeley Manway Liu Anthony Costa J. Titano Eric K. Oermann	1
+	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	1
+	Xception: Deep Learning with Depthwise Separable Convolutions	2016	François Chollet	1
+	Enriching Word Vectors with Subword Information	2016	Piotr Bojanowski Édouard Grave Armand Joulin Tomáš Mikolov	1
+	SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks	2017	Angshuman Parashar Minsoo Rhu Anurag Mukkara Antonio Puglielli Rangharajan Venkatesan Brucek Khailany Joel Emer Stephen W. Keckler William J. Dally	1
+	NLTK: The Natural Language Toolkit	2002	Edward Loper Steven Bird	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	1
+	Medical Text Classification using Convolutional Neural Networks	2017	Mark Hughes Irene Li Spyros Kotoulas Toyotaro Suzumura	1
+	NegBio: a high-performance tool for negation and uncertainty detection in radiology reports	2017	Yifan Peng Xiaosong Wang Le Lü Mohammadhadi Bagheri Ronald M. Summers Zhiyong Lu	1
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	1
+	An Experimental Analysis of the Entanglement Problem in Neural-Network-based Music Transcription Systems	2017	Rainer Kelz Gerhard Widmer	1
+	Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation	2016	Hoo-Chang Shin Le Lü Lauren Kim Ari Seff Jianhua Yao Ronald M. Summers	1
+ PDF Chat	Open Set Logo Detection and Retrieval	2018	Andras Tüzkö Christian Herrmann Daniel Manger Jürgen Beyerer	1
+ PDF Chat	TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays	2018	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Ronald M. Summers	1
+	Transformer-XL: Attentive Language Models beyond a Fixed-Length Context	2019	Zihang Dai Zhilin Yang Yiming Yang Jaime Carbonell Quoc V. Le Ruslan Salakhutdinov	1
+ PDF Chat	Character Region Awareness for Text Detection	2019	Youngmin Baek Bado Lee Dongyoon Han Sangdoo Yun Hwalsuk Lee	1
+ PDF Chat	Hierarchy-of-Visual-Words: a Learning-Based Approach for Trademark Image Retrieval	2019	Vítor Lourenço Gabriela G. Silva Leandro A. F. Fernandes	1