Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Antonio Miguel, Domènec Puig, Jordina Torrents‐Barrena,
Mammogram inspection in search of breast tumors is a tough assignment that radiologists must carry out frequently. Therefore, image analysis methods are needed for the detection and delineation of breast tumors, which portray crucial morphological information that will support reliable diagnosis. In this paper, we proposed a conditional Generative Adversarial Network (cGAN) devised to segment a breast tumor within a region of interest (ROI) in a mammogram. The generative network learns to recognize ...
Tópico(s): Medical Image Segmentation Techniques
2019 - Elsevier BV | Expert Systems with Applications
Jordina Torrents‐Barrena, Domènec Puig, Jaime Melendez, Aı̈da Valls,
Breast cancer is one of the most dangerous diseases that attack women in their 40s worldwide. Due to this fact, it is estimated that one in eight women will develop a malignant carcinoma during their life. In addition, the carelessness of performing regular screenings is an important reason for the increase of mortality. However, computer-aided diagnosis systems attempt to enhance the quality of mammograms as well as the detection of early signs related to the disease. In this paper we propose a ...
Tópico(s): Face and Expression Recognition
2015 - Taylor & Francis | Journal of Experimental & Theoretical Artificial Intelligence
M. Beena Mol, J. Mohanalin, S. Prabavathy, Jordina Torrents‐Barrena, Domènec Puig,
Wavelet based denoising of the observed non stationary time series earthquake loading has become an important process in seismic analysis. The process of denoising ensures a noise free seismic data, which is essential to extract features accurately (max acceleration, max velocity, max displacement, etc.). However, the efficiency of wavelet denoising is decided by the identification of a crucial factor called threshold. But, identification of optimal threshold is not a straight forward process as ...
Tópico(s): Advanced Image Fusion Techniques
2016 - Elsevier BV | Applied Soft Computing
Jordina Torrents‐Barrena, Domènec Puig, Maria Ferré, Jaime Melendez, Lorena Díez-Presa, Meritxell Arenas, Joan Martı́,
Mammographic image analysis plays an important role in computer-aided breast cancer diagnosis. To improve the existing knowledge, this paper proposes a new efficient pixel-based methodology for tumor vs non-tumor classification. The proposed method firstly computes a Gabor feature pool from the mammogram. This feature set is calculated through multi-sized evaluation windows applied to the probabilistic distribution moments, in order to improve the accuracy of the whole system. To deal with a high ...
Tópico(s): Advanced Image and Video Retrieval Techniques
2014 - Springer Science+Business Media | Lecture notes in computer science
I. Calvo, L. Calefice, Jordina Torrents‐Barrena, Erick Muñoz, Domènec Puig,
In this work, we assess the impact of the adaptive unsharp mask filter as a preprocessing stage for breast tumour multi-class classification with histopathological images, evaluating two state-of-the-art architectures, not tested so far for this problem to our knowledge: DenseNet, SqueezeNet and a 5-layer baseline deep learning architecture. SqueezeNet is an efficient architecture, which can be useful in environments with restrictive computational resources. According to the results, the filter ...
Tópico(s): Digital Imaging for Blood Diseases
2020 - Springer Science+Business Media | Communications in computer and information science
Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Pandey Nidhi, Md. Mostafa Kamal Sarker, Saleh Adel, Abdulwahab Saddam, Maaroof Najlaa, Barrena Jordina Torrents, Santiago Romaní, Puig Domenec,
Tópico(s): Glaucoma and retinal disorders
2018 - | Frontiers in artificial intelligence and applications
Vivek Kumar Singh, Santiago Romaní, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Saddam Abdulwahab, Jordina Torrents‐Barrena, Adel Saleh, Antonio Miguel, Meritxell Arenas, Domènec Puig,
This paper proposes a novel approach based on conditional Generative Adversarial Networks (cGAN) for breast mass segmentation in mammography. We hypothesized that the cGAN structure is well-suited to accurately outline the mass area, especially when the training data is limited. The generative network learns intrinsic features of tumors while the adversarial network enforces segmentations to be similar to the ground truth. Experiments performed on dozens of malignant tumors extracted from the public ...
Tópico(s): Generative Adversarial Networks and Image Synthesis
2018 - Springer Science+Business Media | Lecture notes in computer science
José Escorcia‐Gutierrez, Jordina Torrents‐Barrena, Margarita Gamarra, Pedro Romero‐Aroca, Aı̈da Valls, Domènec Puig,
Retinal disorders are a severe health threat for older adults because they may lead to vision loss and blindness. Diabetic patients are particularly prone to suffer from Diabetic Retinopathy. Identifying relevant structural components in color fundus images like the optic disc (OD) is crucial to diagnose retinal diseases. Automatic OD detection is complex because of its location in an area where blood vessels converge, and color distribution is uneven. Several image processing techniques have been ...
Tópico(s): Retinal Diseases and Treatments
2021 - Elsevier BV | Expert Systems with Applications
José Escorcia‐Gutierrez, Jordina Torrents‐Barrena, Margarita Gamarra, Pedro Romero‐Aroca, Aı̈da Valls, Domènec Puig,
Diabetic retinopathy (DR) has become a major worldwide health problem due to the increase in blindness among diabetics at early ages. The detection of DR pathologies such as microaneurysms, hemorrhages and exudates through advanced computational techniques is of utmost importance in patient health care. New computer vision techniques are needed to improve upon traditional screening of color fundus images. The segmentation of the entire anatomical structure of the retina is a crucial phase in detecting ...
Tópico(s): Glaucoma and retinal disorders
2020 - Elsevier BV | Computers in Biology and Medicine
Jordina Torrents‐Barrena, Prinza Lazar, Rajeesh Jayapathy, M.R. Rathnam, B. Mohandhas, Domènec Puig,
Electroencephalography signals are used for computer-aided diagnosis of Alzheimer's disease. Therefore, extracting critical features that belong to Alzheimer's signals are useful and tedious for neural network classification due to the high-frequency non-stationary components. For this purpose, time–frequency analysis and the multi-resolution capability of wavelets represent an attractive choice. However, fluctuations of the transformed coefficients and the absence of phase information make the ...
Tópico(s): Spectroscopy and Chemometric Analyses
2015 - Institution of Engineering and Technology | Electronics Letters
Facundo Quiroga, Jordina Torrents‐Barrena, Laura Cristina Lanzarini, Domènec Puig,
Convolutional neural networks (CNN) offer state-of-the-art performance in various computer vision tasks such as activity recognition, face detection, medical image analysis, among others. Many of those tasks need invariance to image transformations (i.e., rotations, translations or scaling). This work proposes a versatile, straightforward and interpretable measure to quantify the (in)variance of CNN activations with respect to transformations of the input. Intermediate output values of feature maps ...
Tópico(s): Medical Image Segmentation Techniques
2019 - Springer Science+Business Media | Communications in computer and information science
Vivek Kumar Singh, Santiago Romaní, Torrents-Barrena Jordina, Farhan Akram, Pandey Nidhi, Md. Mostafa Kamal Sarker, Saleh Adel, Meritxell Arenas, Antonio Miguel, Puig Domenec,
Tópico(s): Radiomics and Machine Learning in Medical Imaging
2017 - | Frontiers in artificial intelligence and applications
Facundo Quiroga, Jordina Torrents‐Barrena, Laura Cristina Lanzarini, Domenec Puig-Valls,
Invariances in neural networks are useful and necessary for many tasks. However, the representation of the invariance of most neural network models has not been characterized. We propose measures to quantify the invariance of neural networks in terms of their internal representation. The measures are efficient and interpretable, and can be applied to any neural network model. They are also more sensitive to invariance than previously defined measures. We validate the measures and their properties ...
Tópico(s): Machine Learning in Materials Science
2022 - Elsevier BV | Applied Soft Computing
Prinza Lazar, Rajeesh Jayapathy, Jordina Torrents‐Barrena, M. Beena Mol, Mohanalin, Domènec Puig,
The presence of irregularities in electroencephalographic (EEG) signals entails complexities during the Alzheimer's disease (AD) diagnosis. In addition, the uncertainty presented on EEG raises major issues in the improvement of the classification rate. The multi-resolution analysis through an optimum threshold will likely achieve better results in distinguishing AD and normal EEG signals. Hence, a fuzzy-entropy concept defined in a complex multi-resolution wavelet has been proposed to obtain the most ...
Tópico(s): Blind Source Separation Techniques
2016 - Institution of Engineering and Technology | Healthcare Technology Letters
Prinza Lazar, Rajeesh Jayapathy, Jordina Torrents‐Barrena, M. Mary Linda, M. Beena Mol, J. Mohanalin, Domènec Puig,
Alzheimer is a degenerative disorder that attacks neurons, resulting in loss of memory, thinking, language skills, and behavioral changes. Computer-aided detection methods can uncover crucial information recorded by electroencephalograms. A systematic literature search presents the wavelet transfor m as a frequently used technique in Alzheimer's detection. However, it requires a defined basis function considered a significant problem. In this work, the concept of empirical mode decomposition is ...
Tópico(s): Anomaly Detection Techniques and Applications
2018 - IOS Press | Bio-Medical Materials and Engineering
José Escorcia‐Gutierrez, Jordina Torrents‐Barrena, Margarita Gamarra, Natasha Madera, Pedro Romero‐Aroca, Aı̈da Valls, Domènec Puig,
Diabetic retinopathy (DR) is a complication of diabetes mellitus that appears in the retina. Clinitians use retina images to detect DR pathological signs related to the occlusion of tiny blood vessels. Such occlusion brings a degenerative cycle between the breaking off and the new generation of thinner and weaker blood vessels. This research aims to develop a suitable retinal vasculature segmentation method for improving retinal screening procedures by means of computer-aided diagnosis systems. The ...
Tópico(s): Glaucoma and retinal disorders
2021 - | Computers, materials & continua/Computers, materials & continua (Print)
Torrents-Barrena Jordina, Puig Domenec, Fernando Díaz-de-María, M. Jaime, M Chapman Joan, Aı̈da Valls,
Tópico(s): Image Retrieval and Classification Techniques
2014 - | Frontiers in artificial intelligence and applications
Torrents-Barrena Jordina, Aı̈da Valls, Petia Radeva, Meritxell Arenas, Puig Domenec,
Tópico(s): Image Retrieval and Classification Techniques
2015 - | Frontiers in artificial intelligence and applications
Torrents-Barrena Jordina, M. Medina Jaime, Aı̈da Valls, Robin R. St Pere, Puig Domenec,
Tópico(s): Brain Tumor Detection and Classification
2015 - | Frontiers in artificial intelligence and applications
M. Arenas Prat, Lorena Díez-Presa, Jordina Torrents‐Barrena, Antonio Miguel, C. W. Pallas, M. Gascón, M. Bonet, A. Latorre‐Musoll, Susana Sabater, Domènec Puig,
Conclusion:This study indicates that both glucose metabolism measured by PET/CT and restriction measured by DW-MR are independent cellular phenomena in newly diagnosed esophageal cancer.Therefore, SUV with ADC values may have complementary roles as imaging biomarkers in the evaluation of survival and response to neoadjuvant treatment in esophageal cancer.
Tópico(s): Infrared Thermography in Medicine
2016 - Elsevier BV | Radiotherapy and Oncology