Raymond Confidence

According to our database, Raymond Confidence authored at least 25 papers between 2022 and 2026.

Collaborative distances:

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

2026

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

CoRR, January, 2026

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

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI.

Freedmore Sidume, Oumayma Soula, Joseph Muthui Wacira, YunFei Zhu, Abbas Rabiu Muhammad, Abderrazek Zeraii, Oluwaseun Kalejaye, Hajer Ibrahim, Olfa Gaddour, Brian Halubanza, Dong Zhang, Udunna C. Anazodo, Raymond Confidence

CoRR, September, 2025

Towards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation.

Toufiq Musah, Chinasa Kalaiwo, Maimoona Akram, Ubaida Napari Abdulai, Maruf Adewole, Farouk Dako, Adaobi Emegoakor, Udunna C. Anazodo, Prince Ebenezer Adjei, Raymond Confidence

CoRR, August, 2025

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

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

CoRR, August, 2025

Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings.

Jeremiah Fadugba, Isabel Lieberman, Olabode Ajayi, Mansour Osman, Solomon Oluwole Akinola, Tinashe E. M. Mutsvangwa, Dong Zhang, Udunna C. Anazodo, Raymond Confidence

CoRR, February, 2025

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

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

CoRR, January, 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

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

Reassessing Glioma Segmentation Strategies: nnU-Net as a Strong Baseline on Limited Sub-Saharan MRI Data.

Uwimana Lowami, Andrew Blayama Stephen, Raymond Confidence, Dong Zhang, Maruf Adewole, Udunna C. Anazodo, Mehmet Kurt, Damilare Olatunji, Bernes Lorier Atabonfack

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 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 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 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 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

2024

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset.

Bijay Adhikari, Pratibha Kulung, Jakesh Bohaju, Laxmi Poudel, Raymond Confidence, Dong Zhang, Udunna C. Anazodo, Bishesh Khanal, Mahesh Shakya

CoRR, 2024

2023

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

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

CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).

Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi, Oluyemisi Toyobo, Raymond Confidence, Dong Zhang, Olubukola Omidiji, Rachel Akinola, Mohammad Abba Suwaid, Adaobi Emegoakor, Nancy Ojo, Kenneth Aguh, Chinasa Kalaiwo, Gabriel Babatunde, Afolabi Ogunleye, Yewande Gbadamosi, Kator Iorpagher, Evan Calabrese, Mariam Aboian, Marius George Linguraru, Jake Albrecht, Benedikt Wiestler, Florian Kofler, Anastasia Janas, Dominic LaBella, Anahita Fathi Kazerooni, Hongwei Bran Li, Juan Eugenio Iglesias, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Koen Van Leemput, Christina Bukas, Marie Piraud, Gian Marco Conte, Elaine Johanson, Zeke Meier, Bjoern H. Menze, Ujjwal Baid, Spyridon Bakas, Farouk Dako, Abiodun Fatade, Udunna Anazodo

CoRR, 2023

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

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

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

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

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

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

2022

Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework.

Dong Zhang, Raymond Confidence, Udunna Anazodo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022