Two Student-Led Papers Published in Medical Image Computing in Resource Constrained Settings

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Two Student-Led Papers Published in Medical Image Computing in Resource Constrained Settings

Two papers led by DataLab students have been published by Springer in Medical Image Computing in Resource Constrained Settings (Lecture Notes in Computer Science, volume 16398), the proceedings of the MIRASOL workshop held at MICCAI 2025. Both papers come from the Enterprise Medical Imaging project.

  • Peter Chibuta, Lighton Phiri, Ernest Obbie Zulu and Malaizyo Muzumala. Global South Health Practitioners' Awareness and Perceptions of Integrating Artificial Intelligence in Radiological Workflows: A Quantitative Nationwide Study in Health Facilities in Zambia (pp. 175–184). doi:10.1007/978-3-032-13654-1_18. Malaizyo, a co-author, has since graduated with his MSc in Computer Science.
  • Elijah Chileshe and Lighton Phiri. Large Scale DICOM Compliance Evaluation of Medical Image Data Elements in Low-Resource Settings (pp. 279–288). doi:10.1007/978-3-032-13654-1_28. Elijah did this work during his Postgraduate Diploma in Computer Science and has since rejoined the group as an MSc student in 2026.
Malaizyo Muzumala
Malaizyo Muzumala.
Elijah Chileshe
Elijah Chileshe.

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