Search Results - "Ahishakiye, Emmanuel"

A survey on deep learning in medical image reconstruction by Ahishakiye, Emmanuel, Van Gijzen, Martin Bastiaan, Tumwiine, Julius, Wario, Ruth, Obungoloch, Johnes

“…Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its…”
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Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Ahishakiye, Emmanuel, Kanobe, Fredrick

“…Background Cervical cancer is the fourth most frequent cancer in women worldwide. Even though cervical cancer deaths have decreased significantly in Western…”
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Deep Gaussian convolutional neural network model in classification of cassava diseases using spectral data by Ahishakiye, Emmanuel, Mwangi, Waweru, Muriithi, Petronilla, Kanobe, Fredrick, Owomugisha, Godliver, Taremwa, Danison, Nkalubo, Lenard

“…Early disease identification in crops is critical for food security, especially in Sub-Saharan Africa. To identify cassava diseases, professionals visually…”
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Classification of cassava leaf diseases using deep Gaussian transfer learning model by Emmanuel, Ahishakiye, Mwangi, Ronald Waweru, Murithi, Petronilla, Fredrick, Kanobe, Danison, Taremwa

“…In Sub‐Saharan Africa, experts visually examine the plants and look for disease symptoms on the leaves to diagnose cassava diseases, a subjective method…”
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Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging by Ahishakiye, Emmanuel, Van Gijzen, Martin Bastiaan, Tumwiine, Julius, Obungoloch, Johnes

“…Background Magnetic resonance imaging (MRI) is a safe non-invasive and nonionizing medical imaging modality that is used to visualize the structure of human…”
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Comparative Performance of Machine Leaning Algorithms in Prediction of Cervical Cancer by Ahishakiye, Emmanuel, Mwangi, Waweru, Muthoni, Petronilla, Nderu, Lawrence, Wario, Ruth

“…Cervical cancer is among the most common types of cancer affecting women around the world despite the advances in prevention, screening, diagnosis, and…”
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A Dictionary Learning Approach for Noise-Robust Image Reconstruction in Low-Field Magnetic Resonance Imaging by AHISHAKIYE, Emmanuel, GIJZEN, Martin Bastiaan VAN, TUMWIINE, Julius, OBUNGOLOCH, Johnes

“…Objective: Image denoising has been considered as a separate procedure from image reconstruction which could otherwise be combined with acquisition and…”
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Prediction of Cervical Cancer Basing on Risk Factors using Ensemble Learning by Ahishakiye, Emmanuel, Wario, Ruth, Mwangi, Waweru, Taremwa, Danison

“…Cervical cancer is among the most common types of cancer affecting women around the world despite the advances in prevention, screening, diagnosis, and…”
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A Dictionary Learning Approach for Joint Reconstruction and Denoising in Low Field Magnetic Resonance Imaging by Ahishakiye, Emmanuel, Gijzen, Martin Bastiaan VAN, Shan, Xiujie, Tumwiine, Julius, Obungoloch, Johnes

“…Currently, many children with hydrocephalus in East Africa and other resource-constrained countries do not have access to Magnetic Resonance Imaging (MRI)…”
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