Raymond Confidence
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
1
Active years
2022–2025
Best venue rank
A
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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, Farouk Dako, Dong Zhang, Udunna C. Anazodo, Raymond Confidence |
| 2025 | MICCAI | TerangaNet: An Optimized 3D U-Net for Brain Tumor Segmentation in Sub-Saharan African MRI Volumes. | Kba Faye, Abdourahmane Balde, Racky Barro Diatta, Abdoul Wahab Soumare, Penda Ka, Mohameth DIA, Khoudia Sow, Doudou Mohamet Gaye, Mohamadou Bamba Diop, Magatte Diouf, Marime Dieng Fall, Guy Mbatchou, Aondona M. Iorumbur, Raymond Confidence, Udunna Anazodo |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | Brain Tumor Segmentation in Sub-Sahara Africa with Advanced Transformer and ConvNet Methods: Fine-Tuning, Data Mixing and Ensembling. | Toufiq Musah, Chantelle Amoako-Atta, John Amankwaah Otu, Lukman E. Ismaila, Swallah Alhaji Suraka, Oladimeji Williams, Isaac Tigbee, Kato Hussein Wabbi, Samantha Katsande, Kanyiri Ahmed Yakubu, Adedayo Kehinde Lawal, Anita Nsiah Donkor, Naeem Mwinlanaah Adamu, Adebowale Akande, John Othieno, Prince Ebenezer Adjei, Dong Zhang, Raymond Confidence, Udunna C. Anazodo, Abdul Nashirudeen Mumuni, Adaobi Emegoakor, Chidera Opara, Maruf Adewole, Richard Asiamah |
| 2025 | MICCAI | 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 Chiazor Emegoakor, Udunna C. Anazodo, Prince Ebenezer Adjei, Raymond Confidence |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | 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-Donn Okalas Ossami, Mariama Dione, Dieumbe Khoule, Mor Diop, Ndeye Maty Bousso, Adama Traore, Aondona M. Iorumbur, Raymond Confidence, Udunna Anazodo |
| 2023 | MICCAI | 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, Sbastien Quetin |
| 2023 | MICCAI | 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 |
| 2022 | MICCAI | Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework. | Dong Zhang, Raymond Confidence, Udunna Anazodo |