In recent years, deep learning (DL) has shown great potential in the fie...
The advancements in deep learning-based methods for visual perception ta...
While deep learning based approaches have demonstrated expert-level
perf...
Skin cancer is a major public health problem that could benefit from
com...
Modern deep learning training procedures rely on model regularization
te...
In this paper, we study an interesting combination of sleeping and
combi...
We present an automated approach to detect and longitudinally track skin...
We explore the class of problems where a central planner needs to select...
Medical image segmentation annotations suffer from inter/intra-observer
...
The segmentation of skin lesions is a crucial task in clinical decision
...
The semantic segmentation of skin lesions is an important and common ini...
For sponsored search auctions, we consider contextual multi-armed bandit...
Primary brain tumors including gliomas continue to pose significant
mana...
Over-parameterized deep models usually over-fit to a given training
dist...
Phylogenetic trees represent evolutionary relationships among sets of
or...
The (medical) image semantic segmentation task consists of classifying e...
In this report, we aim to exemplify concentration inequalities and provi...
Skin lesion segmentation is a vital task in skin cancer diagnosis and fu...
Although numerous improvements have been made in the field of image
segm...
The linear and non-flexible nature of deep convolutional models makes th...
Over the past few years, there has been an astounding growth in the numb...