Recent Submissions

  • Looking towards the future of MRI in Africa 

    Anazodo, Udunna; Kwikima, Ugumba; Obungoloch, Johnes (nature communications, 2024)
    Magnetic Resonance Imaging (MRI) is a crucial diagnostic tool within modern healthcare, yet its availability remains largely confined to high income nations. The imperative to extend MRI accessibility to lower income countries ...
  • Low-field MRI: A report on the 2022 ISMRM workshop 

    Campbell-Washburn, Adrienne E.; Keenan, Kathryn E.; Hu, Peng; Mugler III, John P.; Nayak, Krishna S.; Webb, Andrew G.; Obungoloch, Johnes; Sheth, Kevin N.; Hennig, Jürgen; Rosen, Matthew S.; Salameh, Najat; Sodickson, Daniel K.; Stein, Joel M.; Marques, José P.; Simonetti, Orlando P. (Magnetic Resonance in Medicine, 2023)
    In March 2022, the first ISMRM Workshop on Low-Field MRI was held virtually. The goals of this workshop were to discuss recent low field MRI technology including hardware and software developments, novel methodology, new ...
  • Reflecting on a community of practice for engineering education research capacity in Africa: who are we and where are we going? 

    Matemba, Esther; Smith, Lelanie; Wolff, Karin; Inglis, Helen; Mogashana, Disaapele; Jansen, Lauren; Gwynne-Evans, Alison; Campbell, Anita L.; Kwuimye, Cedrick; Nassar, Shamim; Magara, Irene; Kloot, Bruce; Hattingh, Teresa; Raji, Atanda; Musa, Tagwa; Nyamapfene, Abel (Australasian Journal of Engineering Education, 2023)
    The Engineering Education Research Network in Africa (EERN-Africa) was created to enable connections between practitioners and researchers with a shared interest in African engineering education contexts. Recognising the ...
  • A framework for advancing sustainable magnetic resonance imaging access in Africa 

    Anazodo, Udunna C.; Ng, Jinggang J.; Ehiogu, Boaz; Obungoloch, Johnes; Fatade, Abiodun; Mutsaerts, Henk J. M. M.; Secca, Mario Forjaz; Diop, Mamadou; Opadele, Abayomi; Alexander, Daniel C.; Dada, Michael O.; on behalf ofthe Consortium for Advancement of MRI Education and Research in Africa (CAMERA) (NMR in Biomedicine, 2023)
    Magnetic resonance imaging (MRI) technology has profoundly transformed current healthcare systems globally, owing to advances in hardware and software research innovations. Despite these advances, MRI remains largely ...
  • Evaluating 3D human face reconstruction from a frontal 2D image, focusing on facial regions associated with foetal alcohol syndrome 

    Atuhaire, Felix; Egger, Bernhard; Mutsvangwa, Tinashe (South African Journal of Science, 2023)
    Foetal alcohol syndrome (FAS) is a preventable condition caused by maternal alcohol consumption during pregnancy. The FAS facial phenotype is an important factor for diagnosis, alongside central nervous system impairments ...
  • Five steps to make MRI scanners more affordable to the world 

    Webb, Andrew; Obungoloch, Johnes (Nature, 2023)
    Fifty years since the basis of magnetic resonance imaging was published, MRI scanners remain expensive — and impractical in many countries. Here’s how we are making them smaller and less costly.
  • Moving towards vertically integrated artificial intelligence development 

    Zhang, Joe; Budhdeo, Sanjay; William, Wasswa; Cerrato, Paul; Shuaib, Haris; Sood, Harpreet; Ashrafian, Hutan; Halamka, John; Teo, James T. (NPJ digital medicine, 2022)
    Substantial interest and investment in clinical artificial intelligence (AI) research has not resulted in widespread translation to deployed AI solutions. Current attention has focused on bias and explainability in AI ...
  • An Unmatched Radio Frequency Chain for Low-Field Magnetic Resonance Imaging 

    Harper, Joshua R.; Zárate, Cristhian; Krauch, Federico; Muhumuza, Ivan; Molina, Jorge; Obungoloch, Johnes; Schiff, Steven J. (Frontiers in Physics, 2022-02-09)
    Magnetic Resonance Imaging (MRI) is a safe and versatile diagnostic tool for intracranial imaging, however it is also one of the most expensive and specialized making it scarce in low- to middle-income countries (LMIC). ...
  • Sustainable low-field cardiovascular magnetic resonance in changing healthcare systems 

    Qin, Cathy; Murali, Sanjana; Lee, Elsa; Supramaniam, Vaishnavi; Hausenloy, Derek J.; Obungoloch, Johnes; Brecher, Joanna; Lin, Rongyu; Ding, Hao; Akudjedu, Theophilus N.; Anazodo, Udunna C.; Jagannathan, Naranamangalam R.; Ntusi, Ntobeko A. B.; Simonetti, Orlando P.; Campbell-Washburn, Adrienne E.; Niendorf, Thoralf; Mammen, Regina; Adeleke, Sola (European Heart Journal-Cardiovascular Imaging, 2022)
    Cardiovascular disease continues to be a major burden facing healthcare systems worldwide. In the developed world, cardiovascular magnetic resonance (CMR) is a well-established non-invasive imaging modality in the diagnosis ...
  • Automated Diagnosis and Classification of Cervical Cancer from pap-smear Images 

    WILLIAM, Wasswa; WARE, Andrew; BASAZA-EJIRI, Annabella Habinka; OBUNGOLOCH, Johnes (2019)
    Globally, cervical cancer ranks as the fourth most prevalent cancer affecting women. However, cervical cancer can be treated if detected at an early stage. Pap-smear is a good tool for screening of cervical cancer but the ...
  • Approaches for Image Reconstruction in Low-Field Magnetic Resonance Imaging 

    Obungoloch, Johnes (2021)
    Background: Magnetic Resonance Imaging (MRI) and spectroscopic techniques are frequently employed for clinical diagnostics as well as basic research in areas like cognitive neuroimaging. MRI is a widely used imaging modality ...
  • A Dictionary Learning Approach for Noise-Robust Image Reconstruction in Low-Field Magnetic Resonance Imaging 

    AHISHAKIYE, Emmanuel; GIJZEN, Martin Bastiaan VAN; TUMWIINE, Julius; OBUNGOLOCH, Johnes (2020)
    Objective: Image denoising has been considered as a separate procedure from image reconstruction which could otherwise be combined with acquisition and reconstruction. This paper discusses a joint image reconstruction and ...
  • Automated Segmentation of Nucleus and Cytoplasm of Cervical Cells from Pap-smear Images using A Quadtree Decomposition Approach. 

    William, Wasswa; Ware, Andrew; Basaza-Ejiri, Annabella Habinka; Obungoloch, Johnes (Research square, 2021)
    Background: Digital pathology and microscopy image analysis is widely used for comprehensive studies of cell morphology especially for cervical cancer screening from pap-smears. Manual assessment of pap-smears is labour ...
  • Design of a sustainable prepolarizing magnetic resonance imaging system for infant hydrocephalus 

    Obungoloch, Johnes; Harper, Joshua R.; Savukov, Igor M.; Neuberger, Thomas; Tadigadapa8, Srinivas; Schiff, Steven J. (Magnetic Resonance Materials in Physics, Biology and Medicine, 2018-03)
    Objectives: The need for affordable and appropriate medical technologies for developing countries continues to rise as challenges such as inadequate energy supply, limited technical expertise, and poor infrastructure ...
  • The embodiment of low-field MRI for the diagnosis of infant hydrocephalus in Uganda 

    Diehl, Jan Carel; Doesum, Frank van; Bakker, Martien; Gijzen, Martin van; O’Reilly, Thomas; Muhumuza, Ivan; Obungoloch, Johnes; Kabachelor, Edith Mbabazi (2020 IEEE Global Humanitarian Technology Conference (GHTC), 2020)
    Compared to other parts of the world, the incidence of hydrocephalus in children is very high in sub- Saharan Africa. Magnetic resonance imaging (MRI) would be the preferred diagnostic method for infant hydrocephaleus. ...
  • X-Ray Beam-Width Limiting Device 

    Wasswa, William; Jager, Kylie de; Lester, John; Steiner, Stefan (Journal of Medical Devices, 2016)
  • Design of a sustainable prepolarizing magnetic resonance imaging system for infant hydrocephalus 

    Obungoloch, Johnes; Harper, Joshua R.; Consevage, Steven; Savukov, Igor M.; Neuberger, Thomas; Tadigadapa, Srinivas; Schiff, Steven J. (Magnetic Resonance Materials in Physics, Biology and Medicine, 2017)
    Objectives The need for affordable and appropriate medical technologies for developing countries continues to rise as challenges such as inadequate energy supply, limited technical expertise, and poor infrastructure ...
  • Cervical cancer classification from Pap-smears using an enhanced fuzzy Cmeans algorithm 

    Wasswa, William; Ware, Andrew; Obungoloch, Johnes; Habinka Basaza-Ejiri, Annabella (Informatics in Medicine Unlocked, 2019)
    Globally, cervical cancer ranks as the fourth most prevalent cancer affecting women. However, it can be successfully treated if detected at an early stage. The Pap smear is a good tool for initial screening of cervical ...
  • Automated Segmentation of Nucleus, Cytoplasm and Background of Cervical Cells from Pap-smear Images using a Trainable Pixel Level Classifier 

    Wasswa, William; Obungoloch, Johnes; Habinka Basaza-Ejiri, Annabella; Ware, Andrew (IEEE Xplore, 2019)
    Abstract— Cervical cancer ranks as the fourth most prevalent cancer affecting women worldwide and its early detection provides the opportunity to help save life. Automated diagnosis of cervical cancer from pap-smear images ...
  • Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging 

    Ahishakiye, Emmanuel; Bastiaan Van Gijzen, Martin; Tumwiine, Julius; Obungoloch, Johnes (BMC Medical Imaging, 2020)
    Background: Magnetic resonance imaging (MRI) is a safe non-invasive and nonionizing medical imaging modality that is used to visualize the structure of human anatomy. Conventional (high-field) MRI scanners are very expensive ...

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