MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …

Diffuse low-grade glioma (DLGG) is a growing pre-cancerous tumor, often diagnosed in
patients with no or only mild deficit. Maximal and early surgical resection is currently the first …

For many decades, interactions between diffuse lower-grade glioma (LGG) and brain
connectome were neglected. However, the neoplasm progression is intimately linked to its …

In this paper, we describe a novel and generic approach to address fully-automatic
segmentation of brain tumors by using multi-atlas patch-based voting techniques. In addition …

In this paper we propose a novel graph-based concurrent registration and segmentation
framework. Registration is modeled with a pairwise graphical model formulation that is …

Parsing facade images requires optimal handcrafted grammar for a given class of buildings.
Such a handcrafted grammar is often designed manually by experts. In this paper, we …

Human empathic experience is a multifaceted psychological construct which arises from
functional integration of multiple neural networks. Despite accumulating knowledge about …

Diffuse WHO grade II gliomas are diffusively infiltrative brain tumors characterized by an
unavoidable anaplastic transformation. Their management is strongly dependent on their …

Object Preserving function while optimizing the extent of resection is the main goal in
surgery for diffuse low-grade glioma (DLGG). This is particularly relevant for DLGG involving …

In this paper, we present a graph-based concurrent brain tumor segmentation and atlas to
diseased patient registration framework. Both segmentation and registration problems are …