Search Results - "Moemeni, Armaghan"

A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica by Calderon-Ramirez, Saul, Murillo-Hernandez, Diego, Rojas-Salazar, Kevin, Elizondo, David, Yang, Shengxiang, Moemeni, Armaghan, Molina-Cabello, Miguel

“…The implementation of deep learning-based computer-aided diagnosis systems for the classification of mammogram images can help in improving the accuracy,…”
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Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images by Calderon-Ramirez, Saul, Yang, Shengxiang, Moemeni, Armaghan, Colreavy-Donnelly, Simon, Elizondo, David A., Oala, Luis, Rodriguez-Capitan, Jorge, Jimenez-Navarro, Manuel, Lopez-Rubio, Ezequiel, Molina-Cabello, Miguel A.

“…In this work we implement a COVID-19 infection detection system based on chest X-ray images with uncertainty estimation. Uncertainty estimation is vital for…”
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Dementia with Lewy Bodies: Genomics, Transcriptomics, and Its Future with Data Science by Goddard, Thomas R, Brookes, Keeley J, Sharma, Riddhi, Moemeni, Armaghan, Rajkumar, Anto P

“…Dementia with Lewy bodies (DLB) is a significant public health issue. It is the second most common neurodegenerative dementia and presents with severe…”
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Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities by Calderon-Ramirez, Saul, Yang, Shengxiang, Elizondo, David, Moemeni, Armaghan

“…In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been…”
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Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images by Calderon-Ramirez, Saul, Yang, Shengxiang, Moemeni, Armaghan, Elizondo, David, Colreavy-Donnelly, Simon, Chavarría-Estrada, Luis Fernando, Molina-Cabello, Miguel A.

“…A key factor in the fight against viral diseases such as the coronavirus (COVID-19) is the identification of virus carriers as early and quickly as possible,…”
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Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images by Calderon-Ramirez, Saul, Giri, Raghvendra, Yang, Shengxiang, Moemeni, Armaghan, Umana, Mario, Elizondo, David, Torrents-Barrena, Jordina, Molina-Cabello, Miguel A.

“…Coronavirus (Covid-19) is spreading fast, infecting people through contact in various forms including droplets from sneezing and coughing. Therefore, the…”
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Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets by Calderon-Ramirez, Saul, Oala, Luis, Torrents-Barrena, Jordina, Yang, Shengxiang, Elizondo, David, Moemeni, Armaghan, Colreavy-Donnelly, Simon, Samek, Wojciech, Molina-Cabello, Miguel A., Lopez-Rubio, Ezequiel

“…Semisupervised deep learning (SSDL) is a popular strategy to leverage unlabeled data for machine learning when labeled data is not readily available. In…”
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Hybrid marker-less camera pose tracking with integrated sensor fusion by Moemeni, Armaghan

“…This thesis presents a framework for a hybrid model-free marker-less inertial-visual camera pose tracking with an integrated sensor fusion mechanism. The…”
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Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset by Wu, Ziling, Moemeni, Armaghan, Castle-Green, Simon, Caleb-Solly, Praminda

“…A large number of deep learning based object detection algorithms have been proposed and applied in a wide range of domains such as security, autonomous…”
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Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities by Calderon-Ramirez, Saul, Yang, Shengxiang, Elizondo, David, Moemeni, Armaghan

“…In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been…”
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Low-Cost Automatic Ambient Assisted Living System by Malekmohamadi, Hossein, Moemeni, Armaghan, Orun, Ahmet, Purohit, Jayendra Kumar

“…The recent increase in ageing population in countries around the world has brought a lot of attention toward research and development of ambient assisted…”
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Inertial-visual pose tracking using optical flow-aided particle filtering by Moemeni, Armaghan, Tatham, Eric

“…This paper proposes an algorithm for visual-inertial camera pose tracking, using adaptive recursive particle filtering. The method benefits from the agility of…”
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A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning by Bermudez, Ariana, Calderon-Ramirez, Saul, Thang, Trevor, Tyrrell, Pascal, Moemeni, Armaghan, Yang, Shengxiang, Torrents-Barrena, Jordina

“…Photostimulable Phosphor Plates are commonly used in digital X-ray imaging for dentistry. During its usage, these plates get damaged, influencing the diagnosis…”
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Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning by Calderon-Ramirez, Saul, Murillo-Hernandez, Diego, Rojas-Salazar, Kevin, Calvo-Valverd, Luis-Alexander, Yang, Shengxiang, Moemeni, Armaghan, Elizondo, David, Lopez-Rubio, Ezequiel, Molina-Cabello, Miguel A.

“…Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for…”
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Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images by Calderon-Ramirez, Saul, Shengxiang-Yang, Moemeni, Armaghan, Elizondo, David, Colreavy-Donnelly, Simon, Chavarria-Estrada, Luis Fernando, Molina-Cabello, Miguel A

“…The Corona Virus (COVID-19) is an internationalpandemic that has quickly propagated throughout the world. The application of deep learning for image…”
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MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures by Calderon-Ramirez, Saul, Oala, Luis, Torrents-Barrena, Jordina, Yang, Shengxiang, Moemeni, Armaghan, Samek, Wojciech, Molina-Cabello, Miguel A

“…In this work, we propose MixMOOD - a systematic approach to mitigate effect of class distribution mismatch in semi-supervised deep learning (SSDL) with…”
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A framework for camera pose tracking using stochastic data fusion by Moemeni, A, Tatham, E

“…A novel camera pose tracking system using a stochastic inertial-visual sensor fusion has been proposed. A method based on the Particle Filtering concept has…”
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