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Blog Post number 4
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Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
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publications
Semi-supervised and Task-Driven Data Augmentation
Published in IPMI 2019 (Oral presentation) (Information Processing on Medical Imaging), 2019
This paper is about using GANs to generate augmented samples that are optimal for the task performance (segmentation here).
Download here
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation
Published in Medical Image Analysis Journal 2020, 2020
This is an extension of our IPMI 2019 work, we analyze the components quantitatively how each term of regularization loss affects the performance gains obtained in the proposed method and evaluate it on 2 more datasets.
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Contrastive learning of global and local features for medical image segmentation with limited annotations
Published in NeurIPS 2020 (Oral presentation) (34th Conference on Neural Information Processing Systems), 2020
In this work, we propose contrasting strategies to leverage domain-specific cues in defining positive and negative pairs to leverage structural similarity across medical volumes. We also devise a local contrastive loss (problem-specific cue) lo learn distinctive local-level representations useful for segmentation tasks. The proposed pre-training lead to substantial improvements compared to baseline, pre-training with contrastive loss without domain cues, compared self-supervision and semi-supervised learning approaches.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant
Graduate course, ETH Zurich, CVG, 2017
TA for the graduate course Computer Vision (Autumn 2017) in Computer Vision and Geometry group.
EXCITE Summer School Workshop Organization (2017 - 2020)
Summer School workshop, ETH Zurich, CVL, 2017
Conducted the workshop on Machine Learning and Deep Learning in the EXCITE Summer School workshop for graduate students from various universities in Europe along with colleagues in CVL.
Served as Program committee member for several medical imaging workshops
Workshop, , 2020
Domain Adaptation and Representation Transfer (DART) and Affordable Healthcare & AI for Resource Diverse Global Health(FAIR), MICCAI; Medical Imaging meets NeurIPS; Interpretable Machine Learning in Healthcare ICML.