- 👋 Hi, I’m @muskaan712
- I am a Master's student in Computer Science at Universität Bonn, specializing in machine learning and self-supervised learning. Currently, I serve as a Research Assistant in the Applied Machine Learning Lab, focusing on human brain image interpretation techniques. I am passionate about advancing AI-driven solutions for medical applications. Areas of Impact:
- Previously, at ZB Med (Uniklinikum Köln), I developed FAIR-compliant ontologies for research software and a recommendation system.
- At EISLAB, Luleå University of Technology, I worked on contrastive learning frameworks for diabetic retinopathy detection, achieving state-of-the-art results.
- My research has been published in conferences like ICIP and IJCNN, and I hold a patent for a real-time pothole detection system.
- 📫 You can reach me at [email protected]
🎯
Focusing
- Germany
Highlights
- Pro
Pinned Loading
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Domain-Adaptable-Self-Supervised-Representation-Learning-on-Remote-Sensing-Satellite-Imagery
Domain-Adaptable-Self-Supervised-Representation-Learning-on-Remote-Sensing-Satellite-Imagery Public -
Functional_Knowledge_Transfer_SSL
Functional_Knowledge_Transfer_SSL PublicForked from prakashchhipa/Functional_Knowledge_Transfer_SSL
Functional Knowledge Transfer with Self-supervised Representation Learning (ICIP 2023)
Python 1
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Self-Informed-Cross-Correlation-for-Variance-and-Invariance-in-Medical-Representation-Learning
Self-Informed-Cross-Correlation-for-Variance-and-Invariance-in-Medical-Representation-Learning PublicPython
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prakashchhipa/Learning-Self-Supervised-Representations-for-Label-Efficient-Cross-Domain-Knowledge-Transfer-on-DRF
prakashchhipa/Learning-Self-Supervised-Representations-for-Label-Efficient-Cross-Domain-Knowledge-Transfer-on-DRF PublicLearning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images (IJCNN 2023)
Python 5
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