Raymond Confidence

Orcid: 0000-0003-3927-9697

According to our database1, Raymond Confidence authored at least 13 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI.
CoRR, September, 2025

Towards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation.
CoRR, August, 2025

SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays.
CoRR, August, 2025

Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings.
CoRR, February, 2025

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa.
CoRR, January, 2025

Bridging the Gap: A Community Driven and AI-Enabled Approach to Early Breast Cancer Detection in Black African Women.
Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

2024
Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset.
CoRR, 2024

2023
Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations.
CoRR, 2023

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

Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Saharan African Populations.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022


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