Daniel Chow
“Artificial intelligence,” “machine learning,” and “deep learning” are terms frequently used by the media as new technologies that will disrupt a variety of fields. These have included self-driving cars, mobile devices, and even the ancient Chinese game of Go, which has more than 2 x 10170 possible legal moves (more than there are … more »
Sven Haller
I chose to research this topic because I am convinced that neurodegenerative disorders are associated with systematic structural and functional modifications in the brain; however, this might not be evident to the naked eye, particularly at early stages of Parkinson disease. Computer-aided pattern recognition approaches might detect such subtle abnormalities associated with neurodegenerative … more »
Edward Herskovits
We were initially approached about this topic when one of our research collaborators in China told us about this dataset, which included DTI and clinical assessments of 65 patients with cirrhosis. Our collaborators were wondering whether we could apply spatial data-mining techniques to determine connectivity differences between subgroups with minimal hepatic encephalopathy (MHE) … more »
Paula Alcaide-Leon
When radiologists provide diagnoses, they use a combination of theoretic knowledge and pattern recognition based on their experience. Pattern recognition is a very complex process, subjective in nature and difficult to teach as it is based on previous exposure to similar cases. Enhancing gliomas and primary central nervous system lymphomas are the … more »
Dafna Ben Bashat
Moran Artzi
Deborah T. Blumenthal
MRI is the method of choice for the assessment of patients with brain tumors; however, standard MR imaging leaves certain areas indeterminate regarding … more »
Pallavi Tiwari
A significant dilemma in the management of patients with brain tumors is the differentiation of a suspicious lesion on a follow-up MRI scan as tumor recurrence or radiation necrosis.1 These 2 conditions mimic each other clinically and radiographically. Even for highly experienced radiologists, the accurate identification of suspicious lesions on posttreatment MRI … more »
Peter Chang
With current advances in MR technique, rich, high-resolution imaging datasets are now routinely acquired in clinical practice; however, much of this detailed information at the voxel level remains unused, even in research settings where there are many practical and logistic barriers to voxel-level radiographic-pathologic correlation. In this project, we wanted to solve many … more »