5 citations · 5 across the 4 of their papers we have counts for
4 papers
FALCON: Few-Shot Adversarial Learning for Cross-Domain Medical Image Segmentation
Abdur R. Fayjie, Pankhi Kashyap, Jutika Borah +1
Precise delineation of anatomical and pathological structures within 3D medical volumes is crucial for accurate diagnosis, effective surgical planning, and longitudinal disease mon…
Surfel-based 3D Registration with Equivariant SE(3) Features
Xueyang Kang, Hang Zhao, Kourosh Khoshelham +1
Point cloud registration is crucial for ensuring 3D alignment consistency of multiple local point clouds in 3D reconstruction for remote sensing or digital heritage. While various…
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts
Abdur R. Fayjie, Jutika Borah, Florencia Carbone +2
Deep learning has shown tremendous progress in a wide range of digital pathology and medical image classification tasks. Its integration into safe clinical decision-making support…
FocDepthFormer: Transformer with latent LSTM for Depth Estimation from Focal Stack
Xueyang Kang, Fengze Han, Abdur R. Fayjie +3
Most existing methods for depth estimation from a focal stack of images employ convolutional neural networks (CNNs) using 2D or 3D convolutions over a fixed set of images. However,…