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Raymond Confidence

Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework
2022 · Dong Zhang, Raymond Confidence, et al. · Lecture notes in computer science · 16
Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations
2023 · Barakat, Mohannad, Magdy, Noha, et al. · arXiv (Cornell University) · 6
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Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Saharan African Populations
2024 · Mohannad Barakat, Noha Magdy, et al. · Lecture notes in computer science · 4
Deep Ensemble Approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings
2026 · Jeremiah Fadugba, Isabel Lieberman, et al. · Lecture notes in computer science · 1
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Lightweight Brain Tumor Segmentation on Low-Resource Systems: A Step-by-Step Guide with 3D U-Net v2
2025 · Ayomide Oladele, Raymond Confidence, et al. · 1
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From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings
2026 · Atabonfack, Bernes Lorier, Nfo, Zion Kongbi, et al. · arXiv (Cornell University)
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HDDPM: Heteroscedastic Denoising Diffusion Probabilistic Model for Quantitative Low-Count Brain PET Recovery
2026 · Confidence, Raymond, Anazodo, Udunna C. · arXiv (Cornell University)
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How We Won BraTS-SSA 2025: Brain Tumor Segmentation in the Sub-Saharan African Population Using Segmentation-Aware Data Augmentation and Model Ensembling.
2026 · Claudia Takyi Ankomah, Livingstone Eli Ayivor, et al. · Lecture notes in computer science
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SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays
2026 · Ilerioluwakiiye Abolade, Emmanuel Idoko, et al. · Lecture notes in computer science
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TerangaNet: An Optimized 3D U-Net for Brain Tumor Segmentation in Sub-Saharan African MRI Volumes
2026 · Kéba Faye, Abdourahmane Balde, et al. · Lecture notes in computer science
MAPS-Glioma: Modality-Specific Augmentation and Tissue-Adaptive Postprocessing for Robust Glioma Segmentation in Resource-Limited Settings
2026 · Ayomide B. Oladele, Helena Machibya, et al. · Lecture notes in computer science
SenTumorNet: A Lightweight 3D U-Net Model for Brain Tumor Segmentation in Sub-Saharan African MRI Data
2026 · Papa Seydou Wane, Abdourahamane Balde, et al. · Lecture notes in computer science
BRAIN-CATS: Brain Tumour Reliability-Aware Imaging with Neural Networks Using Calibration-Aware Training and Segmentation
2026 · Abba Mohammed, Zulyadaini Muhammad Aminu, et al. · Lecture notes in computer science
Lightweight 3D U-Net for Brain Tumor Segmentation on CPUs: Enabling Deep Learning in Low-Resource Environments
2026 · Ayomide B. Oladele, Raymond Confidence, et al. · Lecture notes in computer science
Lightweight Brain Tumor Segmentation on Low-Resource Systems: A Step-by-Step Guide with 3D U-Net v2
2025 · Ayomide Oladele, Raymond Confidence, et al.
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Lightweight Brain Tumor Segmentation on Low-Resource Systems: A Step-by-Step Guide with 3D U-Net v1
2025 · Ayomide Oladele, Raymond Confidence, et al.
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Lightweight Brain Tumor Segmentation on Low-Resource Systems: A Step-by-Step Guide with 3D U-Net v2
2025 · Ayomide Oladele, Raymond Confidence, et al.
PDF
Lightweight Brain Tumor Segmentation on Low-Resource Systems: A Step-by-Step Guide with 3D U-Net v2
2025 · Ayomide Oladele, Raymond Confidence, et al.
PDF
Lightweight Brain Tumor Segmentation on Low-Resource Systems: A Step-by-Step Guide with 3D U-Net v1
2025 · Ayomide Oladele, Raymond Confidence, et al.
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Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa
2025 · Chepchirchir, Rancy, Sunday, Jill, et al. · arXiv (Cornell University)
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Conputational Magnetic Resonance Imaging: New Concepts and Emerging Applications
2020 · Awojoyogbe O Bamidele, Raymond Confidence, et al. · Scholarship@Western (Western University)
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Works count: 22
Citation count: 29
H-index: 3
I10-index: 1
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