Udunna Anazodo – författare

This book presents a series of revised papers selected from the First MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, which was held in Marrakesh, Morocco, during October 6, 2024.MImA 2024 accepted 21 full papers from 45 submissions; for EMERGE 8 papers are included from 9 submissions. They describe cutting-edge research from computational scientists and clinical researchers working on a variety of medical image computing challenges relevant to the African and broader global contexts, as well as emerging techniques for image computing methods tailored to low-resource settings.

This book constitutes the refereed proceedings of the First International Medical Image Computing in Resource Constrained Settings Workshop & Knowledge Interchange, MIRASOL 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea on September 27, 2025.The 31 full papers included in this book were carefully reviewed and selected from 62 submissions. They are organized around three themes that describe insights into the latest advances in machine learning, medical imaging analysis, image segmentation, disease detection, diagnosis, and prognosis, with a focus on global health applications and innovations in the region for real-world clinical impact.

This book constitutes the refereed proceedings of the First International Medical Image Computing in Resource Constrained Settings Workshop & Knowledge Interchange, MIRASOL 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea on September 27, 2025.The 31 full papers included in this book were carefully reviewed and selected from 62 submissions. They are organized around three themes that describe insights into the latest advances in machine learning, medical imaging analysis, image segmentation, disease detection, diagnosis, and prognosis, with a focus on global health applications and innovations in the region for real-world clinical impact.

The MICCAI Challenges proceedings book set LNCS 16376 + 16377 includes contributions from the BraTS 2025 Lighthouse Challenge focusing on brain tumor image analysis, including longitudinal assessment of brain tumor response, generalizability of tumor segmentation methods across different entities, and inclusion of tumor entities for which there is currently limited annotated data. It also contains contributions from the AIMS-TBI 2025 Challenge that deals with the detection and segmentation of lesions in T1-weighted MRI data from moderate-severe traumatic brain injury.The 79 papers included in the proceedings were carefully reviewed and selected from a total of 90 submissions. The papers were organized in topical sectios as follows: Part I: Invited Paper.- Challenge 1 - BraTS-GLI Challenge; Challenge 2 - BraTS-MEN; Challenge 3 - BraTS-MEN-RT; Challenge 4 - BraTS-METS; Challenge 5 - BraTS-Africa; Challenge 6 - BraTS-PED; Challenge 7 - BraTS-GOAT; Part II: Challenge 8 - BraTS-Synth; Challenge 9 - BraTS-Inpainting; Challenge 10 - BraTS-Path; Challenge 11 - BraTS-PRO; Challenge 12 - AIMS-TBI.

The MICCAI Challenges proceedings book set LNCS 16376 + 16377 includes contributions from the BraTS 2025 Lighthouse Challenge focusing on brain tumor image analysis, including longitudinal assessment of brain tumor response, generalizability of tumor segmentation methods across different entities, and inclusion of tumor entities for which there is currently limited annotated data. It also contains contributions from the AIMS-TBI 2025 Challenge that deals with the detection and segmentation of lesions in T1-weighted MRI data from moderate-severe traumatic brain injury.The 79 papers included in the proceedings were carefully reviewed and selected from a total of 90 submissions. The papers were organized in topical sectios as follows: Part I: Invited Paper.- Challenge 1 - BraTS-GLI Challenge; Challenge 2 - BraTS-MEN; Challenge 3 - BraTS-MEN-RT; Challenge 4 - BraTS-METS; Challenge 5 - BraTS-Africa; Challenge 6 - BraTS-PED; Challenge 7 - BraTS-GOAT; Part II: Challenge 8 - BraTS-Synth; Challenge 9 - BraTS-Inpainting; Challenge 10 - BraTS-Path; Challenge 11 - BraTS-PRO; Challenge 12 - AIMS-TBI.

This MICCAI Challenges proceedings book includes contributions from the BraTS 2025 Lighthouse Challenge focusing on brain tumor image analysis, including longitudinal assessment of brain tumor response, generalizability of tumor segmentation methods across different entities, and inclusion of tumor entities for which there is currently limited annotated data. It also contains contributions from the AIMS-TBI 2025 Challenge that deals with the detection and segmentation of lesions in T1-weighted MRI data from moderate-severe traumatic brain injury.The 79 papers included in the proceedings were carefully reviewed and selected from a total of 90 submissions. The papers were organized in topical sectios as follows: Part I: Invited Paper.- Challenge 1 - BraTS-GLI Challenge; Challenge 2 - BraTS-MEN; Challenge 3 - BraTS-MEN-RT; Challenge 4 - BraTS-METS; Challenge 5 - BraTS-Africa; Challenge 6 - BraTS-PED; Challenge 7 - BraTS-GOAT; Part II: Challenge 8 - BraTS-Synth; Challenge 9 - BraTS-Inpainting; Challenge 10 - BraTS-Path; Challenge 11 - BraTS-PRO; Challenge 12 - AIMS-TBI.