1 citations · 1 across the 4 of their papers we have counts for
4 papers
GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis
Po-Jui Lu, Benjamin Odry, Muhamed Barakovic +9
Objective: Identifying disability-related brain changes is important for multiple sclerosis (MS) patients. Currently, there is no clear understanding about which pathological featu…
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
Arijit Sehanobish, Kawshik Kannan, Nabila Abraham +2
Large pretrained Transformer-based language models like BERT and GPT have changed the landscape of Natural Language Processing (NLP). However, fine tuning such models still require…
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports
Arijit Sehanobish, McCullen Sandora, Nabila Abraham +7
Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP. However, training or fine-tuning these models for individual tasks can b…
Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning
Arijit Sehanobish, Nathaniel Brown, Ishita Daga +7
Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP. Generally, if one has multiple tasks on a given dataset, one may finetun…