Search Results for author:
Found 5 papers, 0 papers with code
Feature Transformers: A Unified Representation Learning Framework for Lifelong Learning
Despite the recent advances in representation learning, lifelong learning continues to be one of the most challenging and unconquered problems.
SonoSAMTrack -- Segment and Track Anything on Ultrasound Images
In this paper, we present SonoSAMTrack - that combines a promptable foundational model for segmenting objects of interest on ultrasound images called SonoSAM, with a state-of-the art contour tracking model to propagate segmentations on 2D+t and 3D ultrasound datasets.
Towards Continuous Domain adaptation for Healthcare
Deep learning algorithms have demonstrated tremendous success on challenging medical imaging problems.
Understanding the Mechanisms of Deep Transfer Learning for Medical Images
In this paper, we systematically investigate the process of transferring a Convolutional Neural Network, trained on ImageNet images to perform image classification, to kidney detection problem in ultrasound images.
Filter sharing: Efficient learning of parameters for volumetric convolutions
Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them.
