13 citations · 29 across the 10 of their papers we have counts for
6 papers · 1 filter
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data
Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam Wang +1
Deep learning-based models, when trained in a fully-supervised manner, can be effective in performing complex image analysis tasks, although contingent upon the availability of lar…
3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework
Shafin Haque, Ayaan Haque
The success of deep learning for medical imaging tasks, such as classification, is heavily reliant on the availability of large-scale datasets. However, acquiring datasets with lar…
Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi Patients
Ayaan Haque, Ipsita Sutradhar, Mahziba Rahman +2
Diabetes is one of the most prevalent chronic diseases in Bangladesh, and as a result, Diabetic Retinopathy (DR) is widespread in the population. DR, an eye illness caused by diabe…
Window-Level is a Strong Denoising Surrogate
Ayaan Haque, Adam Wang, Abdullah-Al-Zubaer Imran
CT image quality is heavily reliant on radiation dose, which causes a trade-off between radiation dose and image quality that affects the subsequent image-based diagnostic performa…
Simulated Data Generation Through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling
Sajiv Shah, Ayaan Haque, Fei Liu
Modeling of non-rigid object launching and manipulation is complex considering the wide range of dynamics affecting trajectory, many of which may be unknown. Using physics models c…
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction
Ayaan Haque, Viraaj Reddi, Tyler Giallanza
Early detection of suicidal ideation in depressed individuals can allow for adequate medical attention and support, which in many cases is life-saving. Recent NLP research focuses…