Extracting object-level representations for downstream reasoning tasks i...
Unsupervised representation learning with variational inference relies
h...
The natural way of obtaining different perspectives on any given topic i...
The reliability of segmentation models in the medical domain depends on ...
Most of the current explainability techniques focus on capturing the
imp...
Explanations for black-box models help us understand model decisions
as ...
We utilize 3-D fully convolutional neural networks (CNN) to segment glio...
The black-box nature of deep learning models prevents them from being
co...
Magnetic Resonance (MR) Imaging and Computed Tomography (CT) are the pri...
Histopathology tissue analysis is considered the gold standard in cancer...
Regularization methods, specifically those which directly alter weights ...
The accurate automatic segmentation of gliomas and its intra-tumoral
str...
In this report we present an unsupervised image registration framework, ...
Gliomas are the most common primary brain malignancies, with different
d...
In this manuscript, we present a robust method for glaucoma screening fr...
In this manuscript, we automate the procedure of grading of diabetic
ret...