Aondona M. Iorumbur

According to our database, Aondona M. Iorumbur authored at least 14 papers in 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Domain-Adaptive Transformer for Data-Efficient Glioma Segmentation in Sub-Saharan MRI.

Ilerioluwakiiye Abolade, Aniekan Udo, Augustine Ojo, Abdulbasit Oyetunji, Hammed Ajigbotosho, Aondona M. Iorumbur, Raymond Confidence, Maruf Adewole

CoRR, November, 2025

SenTumorNet: A Lightweight 3D U-Net Model for Brain Tumor Segmentation in Sub-Saharan African MRI Data.

Papa Seydou Wane, Abdourahamane Balde, Guy Mbatchou, Dieu-Donné Okalas Ossami, Mariama Dione, Dieumbe Khoule, Mor Diop, Ndeye Maty Bousso, Adama Traore, Aondona M. Iorumbur, Raymond Confidence, Udunna Anazodo

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

LiMSA-UNet: A Lightweight Modality-Selective Attention ResUNet for Brain-Tumor Segmentation.

Freedmore Sidume, Nkuebe Clement Moleko, Botsile Gorata Masalela, Preference Mangwayana, Lame Kaisara, Refilwe Goitsemang, Topo Lefika Rapula, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

MAPS-Glioma: Modality-Specific Augmentation and Tissue-Adaptive Postprocessing for Robust Glioma Segmentation in Resource-Limited Settings.

Ayomide B. Oladele, Helena Machibya, Mariam Kaoneka, Frederick Lyimo, Debora Hoza, Immaculata Kafumu, Idris Olalekan, Jeremiah Fadugba, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence, Nicephorus Rutabasibwa, Ugumba M. Kwikima

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Lightweight 3D U-Net for Brain Tumor Segmentation on CPUs: Enabling Deep Learning in Low-Resource Environments.

Ayomide B. Oladele, Raymond Confidence, Dong Zhang, Charity Umoren, Aondona M. Iorumbur, Ifeoluwa Oladeji, Tolulope Olusuyi, Gamaliel Adebayo, Anu Gbadamosi, Oluyemisi Toyobo, Farouk Dako, Abiodun Fatade, Maruf Adewole, Udunna Anazodo

Proceedings of the Medical Image Computing in Resource Constrained Settings, 2025

BRAIN-CATS: Brain Tumour Reliability-Aware Imaging with Neural Networks Using Calibration-Aware Training and Segmentation.

Abba Mohammed, Zulyadaini Muhammad Aminu, Ummulkhairi Ibrahim, Amina Suleiman Damo, Theodore Barfoot, Alexander Hammers, Raymond Confidence, Aondona M. Iorumbur, Abdulrazaq Zubair, Mubaraq Yakubu

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

A Self-Supervised Framework for Glioma Segmentation Using Swin UNETR.

Lesly Tsoptio Fougang, Joseph Muthui Wacira, Amal Jlassi, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

TerangaNet: An Optimized 3D U-Net for Brain Tumor Segmentation in Sub-Saharan African MRI Volumes.

Kéba Faye, Abdourahmane Balde, Racky Barro Diatta, Abdoul Wahab Soumare, Penda Ka, Mohameth DIA, Khoudia Sow, Doudou Mohamet Gaye, Mohamadou Bamba Diop, Magatte Diouf, Marième Dieng Fall, Guy Mbatchou, Aondona M. Iorumbur, Raymond Confidence, Udunna Anazodo

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

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

Adaobi Chiazor Emegoakor, Raymond Confidence, 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, Maruf Adewole

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

Domain Adaptation for Adult Glioma Segmentation in Sub-Saharan Africa: An Ensemble of nnU-Net v2 and MedNeXt.

Willem P. E. Boonzaier, Farhana Moosa, Kagiso Lebang, Hanifa Jabaar, Aondona M. Iorumbur, Dong Zhang, Raymond Confidence

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-saharan Africa Dataset.

Prabin Bohara, Pralhad Kumar Shrestha, Arpan Rai, Usha Poudel Lamgade, Raymond Confidence, Dong Zhang, Aondona M. Iorumbur, Craig Jones, Mahesh Shakya, Bishesh Khanal, Pratibha Kulung

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI.

Mohtady Barakat, Omar Salah, Ahmed Yasser, Mostafa Ahmed, Zahirul Arief, Waleed Khan, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence, Mohannad Barakat, Noha Magdy

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

How We Won BraTS-SSA 2025: Brain Tumor Segmentation in the Sub-Saharan African Population Using Segmentation-Aware Data Augmentation and Model Ensembling.

Claudia Takyi Ankomah, Livingstone Eli Ayivor, Jones Yeboah Nyame, Leslie Wambo, Patrick Yeboah Bonsu, Aondona M. Iorumbur, Raymond Confidence, Toufiq Musah

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays.

Ilerioluwakiiye Abolade, Emmanuel Idoko, Solomon Odelola, Promise Omoigui, Adetola Adebanwo, Aondona M. Iorumbur, Udunna Anazodo, Alessandro Crimi, Raymond Confidence

Proceedings of the Medical Image Computing in Resource Constrained Settings, 2025