research
∙
09/18/2023
Preserving Tumor Volumes for Unsupervised Medical Image Registration
Medical image registration is a critical task that estimates the spatial...
share
research
∙
02/04/2023
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity
Medical image segmentation is almost the most important pre-processing p...
research
∙
08/04/2021
Deep Portrait Lighting Enhancement with 3D Guidance
Despite recent breakthroughs in deep learning methods for image lighting...
research
∙
05/18/2021
Binomial Determinants for Tiling Problems Yield to the Holonomic Ansatz
We present and prove closed form expressions for some families of binomi...
research
∙
05/14/2021
Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms
The morphology and distribution of microcalcifications in a cluster are ...
research
∙
10/29/2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
One-shot weight sharing methods have recently drawn great attention in n...
research
∙
02/06/2020
An Additive Decomposition in S-Primitive Towers
We consider the additive decomposition problem in primitive towers and p...
research
∙
12/16/2019
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis
In clinical practice, human radiologists actually review medical images ...
research
∙
01/14/2019
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care
In critical care, intensivists are required to continuously monitor high...
research
∙
02/07/2018
