Nishant Ravikumar

research

∙ 03/31/2023

Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review

Purpose - To characterise and assess the quality of published research e...

0 Jack Breen, et al. ∙

research

∙ 03/29/2023

Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network

The fairness of a deep neural network is strongly affected by dataset bi...

0 Rebecca S Stone, et al. ∙

research

∙ 02/17/2023

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning

Weakly-supervised classification of histopathology slides is a computati...

0 Jack Breen, et al. ∙

research

∙ 02/06/2023

Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs

This study explores the use of the Dirichlet Variational Autoencoder (Di...

0 Rachael Harkness, et al. ∙

research

∙ 01/07/2023

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology

Recent genome-wide association studies (GWAS) have been successful in id...

10 Rodrigo Bonazzola, et al. ∙

research

∙ 11/24/2022

Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images

Medical image registration is a challenging task involving the estimatio...

0 Xiang Chen, et al. ∙

research

∙ 10/04/2022

A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras

Generating virtual populations of anatomy that capture sufficient variab...

1 Haoran Dou, et al. ∙

research

∙ 08/22/2022

Three-dimensional micro-structurally informed in silico myocardium – towards virtual imaging trials in cardiac diffusion weighted MRI

In silico tissue models enable evaluating quantitative models of magneti...

6 Mojtaba Lashgari, et al. ∙

research

∙ 07/01/2022

Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Standard plane (SP) localization is essential in routine clinical ultras...

0 Yuxin Zou, et al. ∙

research

∙ 06/30/2022

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

Tumor infiltration of the recurrent laryngeal nerve (RLN) is a contraind...

0 Haoran Dou, et al. ∙

research

∙ 04/20/2022

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation

Deep neural networks are highly susceptible to learning biases in visual...

0 Rebecca S Stone, et al. ∙

research

∙ 09/14/2021

The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays

Since the emergence of COVID-19, deep learning models have been develope...

0 Rachael Harkness, et al. ∙

research

∙ 09/01/2021

Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images

Breast cancer is the most prevalent cancer worldwide and over two millio...

0 Jack Breen, et al. ∙

research

∙ 08/11/2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Standard plane recognition plays an important role in prenatal ultrasoun...

20 Shuangchi He, et al. ∙

research

∙ 08/02/2021

Flip Learning: Erase to Segment

Nodule segmentation from breast ultrasound images is challenging yet ess...

0 Yuhao Huang, et al. ∙

research

∙ 08/01/2021

Style Curriculum Learning for Robust Medical Image Segmentation

The performance of deep segmentation models often degrades due to distri...

0 Zhendong Liu, et al. ∙

research

∙ 07/31/2021

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

3D ultrasound (US) is widely used for its rich diagnostic information. H...

0 Mingyuan Luo, et al. ∙

research

∙ 07/09/2021

A Deep Discontinuity-Preserving Image Registration Network

Image registration aims to establish spatial correspondence across pairs...

0 Xiang Chen, et al. ∙

research

∙ 06/11/2021

CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning

Image registration is a fundamental building block for various applicati...

0 Xiang Chen, et al. ∙

research

∙ 09/01/2020

Fed-Sim: Federated Simulation for Medical Imaging

Labelling data is expensive and time consuming especially for domains su...

32 Daiqing Li, et al. ∙

research

∙ 07/06/2020

Partially Conditioned Generative Adversarial Networks

Generative models are undoubtedly a hot topic in Artificial Intelligence...

0 Francisco J. Ibarrola, et al. ∙

research

∙ 12/12/2019

Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics

Assessing coronary artery plaque segments in coronary CT angiography sca...

17 Felix Denzinger, et al. ∙

research

∙ 08/21/2019

Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation

Left ventricle segmentation and morphological assessment are essential f...

8 Sulaiman Vesal, et al. ∙

research

∙ 07/14/2019

A Divide-and-Conquer Approach towards Understanding Deep Networks

Deep neural networks have achieved tremendous success in various fields ...

10 Weilin Fu, et al. ∙

research

∙ 05/19/2019

A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT

Automatic segmentation of organs-at-risk (OAR) in computed tomography (C...

0 Sulaiman Vesal, et al. ∙

research

∙ 03/20/2019

Dilated deeply supervised networks for hippocampus segmentation in MRI

Tissue loss in the hippocampi has been heavily correlated with the progr...

1 Lukas Folle, et al. ∙

research

∙ 08/05/2018

A Multi-task Framework for Skin Lesion Detection and Segmentation

Early detection and segmentation of skin lesions is crucial for timely d...

4 Sulaiman Vesal, et al. ∙

research

∙ 08/05/2018

Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI

Segmentation of the left atrial chamber and assessing its morphology, ar...

8 Sulaiman Vesal, et al. ∙

research

∙ 06/25/2018

SkinNet: A Deep Learning Framework for Skin Lesion Segmentation

There has been a steady increase in the incidence of skin cancer worldwi...

0 Sulaiman Vesal, et al. ∙

research

∙ 06/14/2018

Action Learning for 3D Point Cloud Based Organ Segmentation

We propose a novel point cloud based 3D organ segmentation pipeline util...

0 Xia Zhong, et al. ∙

research

∙ 02/26/2018

Classification of breast cancer histology images using transfer learning

Breast cancer is one of the leading causes of mortality in women. Early ...

0 Sulaiman Vesal, et al. ∙

research

∙ 02/23/2018

Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation

Accurate segmentation of breast lesions is a crucial step in evaluating ...

0 Sulaiman Vesal, et al. ∙

research

∙ 12/14/2017

Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation

Magnetic resonance imaging (MRI) is an effective imaging modality for id...

0 Sulaiman Vesal, et al. ∙

research

∙ 11/09/2017

Frangi-Net: A Neural Network Approach to Vessel Segmentation

In this paper, we reformulate the conventional 2-D Frangi vesselness mea...

0 Weilin Fu, et al. ∙

Nishant Ravikumar

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