🔬 I’m currently working at the intersection of Deep Learning and Medical Imaging, developing advanced models for segmentation, classification, and beyond.
🧠 My focus includes self-supervised, semi-supervised, and generative learning techniques to tackle real-world challenges where annotated data is scarce or noisy.
🏗️ I’m also exploring the design and training of foundation models for scalable and generalizable medical image understanding across modalities and tasks.
🤝 I'm keen to collaborate on innovative research and translational projects, particularly those with industry relevance and clinical impact.
🏆 MICCAI 2024 Challenge Contributions
| 🏅 Position | Challenge Name | Title/Method |
|---|---|---|
| 🥇 1st | AIMS-TBI - Automated Identification of Moderate-Severe Traumatic Brain Injury Lesions | Leveraging Student-Teacher Networks in Self-Supervised Learning for Enhanced TBI Severity Segmentation |
| 4th | ISLES - Ischemic Stroke Lesion Segmentation | A Two-Stage SSL Approach for Ischemic Stroke Lesion Segmentation |
| 🥈 2nd | UWF4DR - Ultra-Widefield Fundus Imaging for Diabetic Retinopathy | Efficient Deep Learning for Ultra-Widefield Fundus Imaging |
| 🥈 2nd | FETA - Fetal Tissue Annotation | Pseudo Labeling + 3D Deep Learning Models |
| 🥉 3rd | MBH-Seg - Multi-class Brain Hemorrhage Segmentation | Efficient SSL-Based Deep Learning for Hemorrhage Segmentation |
| 🥉 3rd | CARE - Real World Medical Image Analysis | Two-Stage SSL for Whole Heart Segmentation in CT and MRI |
| 4th | CURVAS - Calibration and Uncertainty for Multi-Rater Volume Assessment | xSLTM-UNet Deep Learning Model |
| 4th | TriALS24 - Triphasic-Aided Liver Lesion Segmentation | SSL-Based Student-Teacher Architecture for Non-Contrast CT |
| 5th | HNTSMRG - Head and Neck Tumor Segmentation in MR | Self-Supervised xLSTM-UNet for Tumor Segmentation |
| 5th | MBAS - Multi-class Bi-Atrial Segmentation | Student-Teacher SSL for 3D Bi-Atrial Segmentation |
| 8th | MARIO - AMD Progression in OCT | Efficient DL Models for Age-Related Macular Degeneration Tracking |
| 9th | COSAS - Cross-Organ and Scanner Adenocarcinoma Segmentation | Swin-UNet + Parallel Cross-Attention |
| 9th | TopCoW - Anatomical Segmentation of the Circle of Willis | Pretrained 3D Segmentation Models |
| 12th | AortaSeg24 - Aortic Branch and Zone Segmentation | SSL-Based Aortic Segmentation with Student-Teacher Architectures |
🧠 IEEE ISBI 2023 Challenge Contributions
| 🏅 Position | Challenge Name |
|---|---|
| 🥇 1st | CuRIOUS 2022 - Image Registration & Segmentation |
| 4th | CMRxMotion Challenge |
| 4th | cSeg-2022 - Infant Cerebellum MRI Segmentation |
| 6th | ATM’22 - Multi-Site Multi-Domain Airway Tree Modeling |
| 9th | NCCT - Intracranial Hemorrhage Segmentation |
| 10th | ISLES'22 - Ischemic Stroke Lesion Segmentation |
| 11th | Kidney Parsing Challenge - Renal Cancer Treatment |
| 16th | Pulmonary Artery Segmentation Challenge |
🔹 MICCAI 2022 Challenge Contributions
| 🏅 Position | Challenge Name | Method Summary |
|---|---|---|
| 🥇 1st | CuRIOUS – Correction of Brain Shift with Intra-Operative Ultrasound | Self-Supervised Two-Stage 3D ResUNet |
| 4th | CMRxMotion Challenge | – |
| 4th | cSeg-2022 – Infant Cerebellum MRI Segmentation | – |
| 6th | ATM’22 – Multi-site, Multi-Domain Airway Tree Modeling | 3D Deep Learning Models |
| 9th | NCCT – Intracranial Hemorrhage Segmentation | – |
| 10th | ISLES'22 – Ischemic Stroke Lesion Segmentation | – |
| 11th | Kidney Parsing Challenge – Renal Cancer Treatment | – |
| 16th | Pulmonary Artery Segmentation Challenge | – |
🧠 MICCAI 2021 Challenge Contributions
| 🏅 Position | Challenge Name |
|---|---|
| 4th | Diabetic Foot Ulcer Challenge |
| 4th | FetReg - Placental Vessel Segmentation in Fetoscopy |
| 5th | Foot Ulcer Segmentation Challenge |
| 7th | FLARE - Fast and Low GPU Abdominal Organ Segmentation |
| 10th | Right Ventricular Segmentation in Cardiac MRI |
| 13th | Feta2021 - Fetal Brain Tissue Segmentation |
| 6th | Chest XR COVID-19 Detection (Grand Challenge) |
| 13th | AIROGS - Robust Glaucoma Screening |
| 5th | KNIGHT Challenge - Kidney Clinical Notes & Imaging Biomarker Discovery |
| 14th | HECKTOR - Head and Neck Tumor PET/CT Segmentation |
- 📫 How to reach me: [email protected]