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Publications advancing African medical AI.

Research by SPARK trainees, graduates and mentors on real clinical challenges in African healthcare, published in conference proceedings.

A speaker presenting at a podium, MICCAI 2025 Presenting a poster at MICCAI 2025 At the poster session, MICCAI 2025 Lighthouse Challenge winners on stage at MICCAI 2025 Speakers on stage at MICCAI 2025

Publications

Published in conference proceedings

Conference papers on brain tumour segmentation, medical image synthesis and early breast cancer detection in African populations.

  1. First online: 21 September 2025

    Bridging the Gap: A Community Driven and AI-Enabled Approach to Early Breast Cancer Detection in Black African Women

    Conference paper, pp 289 to 299. Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care.

    Adaobi Emegoakor, Confidence Raymond and 20 others

    Adaobi Emegoakor, Confidence Raymond, Yewande Gbadamosi, Richard Malumba, Charity Umoren, Diana Spence Betancourt, Aondona M. Iorumbur, Chinasa Kalaiwo, Abbas Rabiu Muhammad, Dennis Musinguzi, Patience Atukunda, Peter Makhoul, Rosta Asiimwe, Alfred Jatho, Amaka Nnamani, Franca Eze, Oluyemisi Toyobo, Abiodun Fatade, Udunna C. Anazodo, Farouk Dako, Michael Kawooya and Maruf Adewole.

  2. First online: 9 February 2025

    Optimized Brain Tumor Segmentation for Resource Constrained Settings: VGG-Infused U-Net Approach

    Conference paper, pp 14 to 23. Medical Information Computing, Communications in Computer and Information Science (CCIS, volume 2240).

    Mizanu Zelalem Degu, Confidence Raymond, Dong Zhang, Amal Saleh, Udunna C. Anazodo and Gizeaddis Lamesgin Simegn.

  3. First online: 9 February 2025

    Spatial Attention-Enhanced Diffusion Model for Multiple Sclerosis MRI Synthesis

    Conference paper, pp 81 to 90. Medical Information Computing, Communications in Computer and Information Science (CCIS, volume 2240).

    Khaoula Alaoui Belghiti, Islem Rekik, Sahar Selim, Mikram Mounia and Maryem Rhanoui.

  4. First online: 9 February 2025

    Generative Style Transfer for MR Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa

    Conference paper, pp 110 to 123. Medical Information Computing, Communications in Computer and Information Science (CCIS, volume 2240).

    Rancy Chepchirchir, Jill Sunday, Raymond Confidence, Dong Zhang, Talha Chaudhry, Udunna C. Anazodo, Kendi Muchungi and Yujing Zou.

  5. First online: 28 December 2024

    Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Saharan African Populations

    Conference paper, pp 200 to 210. Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, Lecture Notes in Computer Science (LNCS, volume 14669).

    Mohannad Barakat, Noha Magdy, Jjuuko George William, Ethel Phiri, Raymond Confidence, Dong Zhang and Udunna C. Anazodo.

  6. First online: 28 December 2024

    Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations

    Conference paper, pp 241 to 254. Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, Lecture Notes in Computer Science (LNCS, volume 14669).

    Alyssa R. Amod, Alexandra Smith, Pearly Joubert, Confidence Raymond, Dong Zhang, Udunna C. Anazodo, Dodzi Motchon, Tinashe E. M. Mutsvangwa and Sébastien Quetin.

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