Search Results for author:
Found 6 papers, 3 papers with code
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
We demonstrate that our approach forms a consistent estimator for the event model parameters, even in the absence of uncensored data.
From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation
Furthermore, our framework accommodates multiple edits to the segmentation output in a sequential manner without compromising previous edits.
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
To this end, we propose a probabilistic model that captures the dependencies between the observed clinical variables and imputes missing ones.
FAIRS -- Soft Focus Generator and Attention for Robust Object Segmentation from Extreme Points
We propose a novel approach for effectively encoding the user input from extreme points and corrective clicks, in a novel and scalable manner that allows the network to work with a variable number of clicks, including corrective clicks for output refinement.
Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network
To automate the process of segmenting an anatomy of interest, we can learn a model from previously annotated data.
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation
The prevalence of skin melanoma is rapidly increasing as well as the recorded death cases of its patients.
