32 citations · 48 across the 5 of their papers we have counts for
6 papers
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
Qisheng He, Nicholas Summerfield, Ming Dong +1
Medical image segmentation of tumors and organs at risk is a time-consuming yet critical process in the clinic that utilizes multi-modality imaging (e.g, different acquisitions, da…
Volumetric medical image segmentation through dual self-distillation in U-shaped networks
Soumyanil Banerjee, Nicholas Summerfield, Ming Dong +1
U-shaped networks and its variants have demonstrated exceptional results for medical image segmentation. In this paper, we propose a novel dual self-distillation (DSD) framework in…
RGB-T Tracking Based on Mixed Attention
Yang Luo, Xiqing Guo, Mingtao Dong +1
RGB-T tracking involves the use of images from both visible and thermal modalities. The primary objective is to adaptively leverage the relatively dominant modality in varying cond…
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
Ling Zhou, Qirong Mao, Ming Dong
Micro-Expression Recognition (MER) is a challenging task as the subtle changes occur over different action regions of a face. Changes in facial action regions are formed as Action…
Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer
Hajar Emami, Ming Dong, Carri K. Glide-Hurst
Recently, interest in MR-only treatment planning using synthetic CTs (synCTs) has grown rapidly in radiation therapy. However, developing class solutions for medical images that co…
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
Hajar Emami, Majid Moradi Aliabadi, Ming Dong +1
Image-to-image translation is to learn a mapping between images from a source domain and images from a target domain. In this paper, we introduce the attention mechanism directly t…