Multitask radiological modality invariant landmark localization using deep reinforcement learning

2 code implementations • MIDL 2019 • Vishwa S. Parekh, Alex E. Bocchieri, Vladimir Braverman, Michael A. Jacobs

As a result, to develop a radiological decision support system, it would need to be equipped with potentially hundreds of deep learning models with each model trained for a specific task or organ.

reinforcement-learning Reinforcement Learning (RL)

Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results

no code implementations • 1 Aug 2019 • Alex E. Bocchieri, Vishwa S. Parekh, Kathryn R. Wagner. Shivani Ahlawat, Vladimir Braverman, Doris G. Leung, Michael A. Jacobs

A current clinical challenge is identifying limb girdle muscular dystrophy 2I(LGMD2I)tissue changes in the thighs, in particular, separating fat, fat-infiltrated muscle, and muscle tissue.

Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results

no code implementations • 10 Jun 2019 • Vishwa S. Parekh, John Laterra, Chetan Bettegowda, Alex E. Bocchieri, Jay J. Pillai, Michael A. Jacobs

Therefore, we applied our multiparametric radiomic framework (mpRadiomic) on 24 patients with brain tumors (8 grade II and 16 grade IV).

Specificity Texture Classification