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09/19/2023
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
Domain Adaptation (DA) is important for deep learning-based medical imag...
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09/15/2023
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
We introduce MHVAE, a deep hierarchical variational auto-encoder (VAE) t...
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08/20/2023
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
Three-dimensional (3D) freehand ultrasound (US) reconstruction without u...
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08/09/2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
Surgical instrument segmentation is recognised as a key enabler to provi...
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07/21/2023
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
Hyperspectral imaging (HSI) captures a greater level of spectral detail ...
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06/19/2023
Learning-based sound speed reconstruction and aberration correction in linear-array photoacoustic/ultrasound imaging
Photoacoustic (PA) image reconstruction involves acoustic inversion that...
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06/15/2023
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
In this paper, we propose a novel text promptable surgical instrument se...
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03/14/2023
Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)
Visual discrimination of clinical tissue types remains challenging, with...
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01/31/2023
OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control
This paper presents OpTaS, a task specification Python library for Traje...
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11/09/2022
Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames
Three-dimensional (3D) freehand ultrasound (US) reconstruction without a...
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11/04/2022
MONAI: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most a...
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10/26/2022
Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset
Endoscopic content area refers to the informative area enclosed by the d...
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10/13/2022
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction
Reliable contact simulation plays a key role in the development of (semi...
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09/17/2022
Can segmentation models be trained with fully synthetically generated data?
In order to achieve good performance and generalisability, medical image...
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08/05/2022
Driving Points Prediction For Abdominal Probabilistic Registration
Inter-patient abdominal registration has various applications, from phar...
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07/26/2022
Cross-Modality Image Registration using a Training-Time Privileged Third Modality
In this work, we consider the task of pairwise cross-modality image regi...
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05/17/2022
blob loss: instance imbalance aware loss functions for semantic segmentation
Deep convolutional neural networks have proven to be remarkably effectiv...
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04/05/2022
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation
Deep learning models for medical image segmentation can fail unexpectedl...
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03/23/2022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
The lack of annotated datasets is a major challenge in training new task...
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03/15/2022
A multi-organ point cloud registration algorithm for abdominal CT registration
Registering CT images of the chest is a crucial step for several tasks s...
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02/11/2022
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data
Motion correction is an essential preprocessing step in functional Magne...
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01/12/2022
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation
Automatic segmentation of lung lesions associated with COVID-19 in CT im...
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01/08/2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation
Domain Adaptation (DA) has recently raised strong interests in the medic...
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12/24/2021
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
Brain tumor segmentation from multiple Magnetic Resonance Imaging (MRI) ...
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11/03/2021
Partial supervision for the FeTA challenge 2021
This paper describes our method for our participation in the FeTA challe...
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10/25/2021
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces
Automatic medical image segmentation via convolutional neural networks (...
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09/30/2021
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
Current laparoscopic camera motion automation relies on rule-based appro...
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09/03/2021
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
Hyperspectral imaging is one of the most promising techniques for intrao...
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08/09/2021
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
The performance of deep neural networks typically increases with the num...
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04/30/2021
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
Joint registration of a stack of 2D histological sections to recover 3D ...
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03/25/2021
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy
Super-resolution (SR) methods have seen significant advances thanks to t...
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01/16/2021
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation
Organ morphology is a key indicator for prostate disease diagnosis and p...
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11/23/2020
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Our motivating application is a real-world problem: COVID-19 classificat...
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11/04/2020
DeepReg: a deep learning toolkit for medical image registration
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
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09/28/2020
High-throughput molecular imaging via deep learning enabled Raman spectroscopy
Raman spectroscopy enables non-destructive, label-free imaging with unpr...
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08/29/2020
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
Morphological analysis of longitudinal MR images plays a key role in mon...
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07/29/2020
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Recent research on COVID-19 suggests that CT imaging provides useful inf...
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01/08/2020
SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning
Distributionally Robust Optimization (DRO) has been proposed as an alter...
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11/29/2019
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches
Purpose: Probe-based Confocal Laser Endomicroscopy (pCLE) enables perfor...
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10/20/2019
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions
Data-driven computational approaches have evolved to enable extraction o...
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07/25/2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
We propose a new deep learning method for tumour segmentation when deali...
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07/15/2019
Deep Sequential Mosaicking of Fetoscopic Videos
Twin-to-twin transfusion syndrome treatment requires fetoscopic laser ph...
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07/07/2019
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets
Brain tissue segmentation from multimodal MRI is a key building block of...
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07/01/2019
Permutohedral Attention Module for Efficient Non-Local Neural Networks
Medical image processing tasks such as segmentation often require captur...
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06/30/2019
Conditional Segmentation in Lieu of Image Registration
Classical pairwise image registration methods search for a spatial trans...
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06/10/2019
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss
Automatic segmentation of vestibular schwannoma (VS) tumors from magneti...
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01/21/2019
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
In recent years, endomicroscopy has become increasingly used for diagnos...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/18/2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation
Automatic brain tumor segmentation plays an important role for diagnosis...
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09/03/2018