4 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation
Devansh Bisla, Anna Choromanska, Jennifer A. Stein +2
Melanoma is one of the ten most common cancers in the US. Early detection is crucial for survival, but often the cancer is diagnosed in the fatal stage. Deep learning has the poten…
VisualBackProp for learning using privileged information with CNNs
Devansh Bisla, Anna Choromanska
In many machine learning applications, from medical diagnostics to autonomous driving, the availability of prior knowledge can be used to improve the predictive performance of lear…
A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI
Shervin Minaee, Yao Wang, Anna Choromanska +6
Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is based on clinical history and sym…