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08/21/2023
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI
For machine learning-based prognosis and diagnosis of rare diseases, suc...
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07/04/2023
SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT
Self-supervised learning in federated learning paradigm has been gaining...
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05/26/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Pediatric tumors of the central nervous system are the most common cause...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
Automated brain tumor segmentation methods are well established, reachin...
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05/12/2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Meningiomas are the most common primary intracranial tumor in adults and...
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11/23/2022
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays
Chest X-rays (CXRs) are a widely used imaging modality for the diagnosis...
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03/11/2022
BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs
We present a 3D face reconstruction system that aims at recovering the 3...
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08/20/2019
Communal Domain Learning for Registration in Drifted Image Spaces
Designing a registration framework for images that do not share the same...
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12/26/2018
Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection
State-of-the-art methods for object detection use region proposal networ...
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12/20/2018
Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review
The medical image analysis field has traditionally been focused on the d...
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07/11/2018
