Sudanthi Wijewickrema
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View article: Electrocochleography for Monitoring Hearing Preservation During Cochlear Implantation
Electrocochleography for Monitoring Hearing Preservation During Cochlear Implantation Open
Importance Many cochlear implant candidates retain residual hearing, which can improve speech perception and overall outcomes. However, residual hearing is frequently lost during implantation. Intraoperative electrocochleography may enable…
View article: A systematic review of automated temporal bone segmentation methods
A systematic review of automated temporal bone segmentation methods Open
The temporal bone is a complex anatomical structure crucial for otologic and neurotologic procedures. Accurate segmentation of the temporal bone from computed tomography (CT) and magnetic resonance imaging (MRI) is essential for surgical p…
View article: How difficult is it to learn different steps of a cortical mastoidectomy?
How difficult is it to learn different steps of a cortical mastoidectomy? Open
Introduction A clear understanding of the difficulty levels of different aspects of a surgery is required to effectively guide and assess trainees. This study investigated which steps of cortical mastoidectomy are most challenging for novi…
View article: Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next Open
Artificial intelligence (AI) is making significant advances toward becoming a well-established and promise-bearing technology in various medical domains such as screening, diagnostics, and biopharma research. However, its state remains rel…
View article: Robust online drop detection for cochlear implant surgery
Robust online drop detection for cochlear implant surgery Open
Hearing loss is an impairment that affects a large population worldwide. Cochlear implant (CI) surgery is an effective solution, especially in patients with residual, natural hearing. However, the risk of intracochlear damage during CI sur…
View article: Robust Online Trauma Detection for Cochlear Implant Surgery
Robust Online Trauma Detection for Cochlear Implant Surgery Open
Hearing loss is an impairment that affects a large population worldwide. Cochlear Implantation (CI) is an effective solution, especially in patients with residual, natural hearing. However, the risk of intracochlear damage during CI surger…
View article: Face and content validation of additive manufacturing temporal bone specimens
Face and content validation of additive manufacturing temporal bone specimens Open
Background Otology training solely using cadavers is challenging because of scarcity and high costs. The use of additive manufacturing technology is a promising alternative. This study aimed to qualitatively validate new additive manufactu…
View article: Definition of a coordinate system for multi-modal images of the temporal bone and inner ear
Definition of a coordinate system for multi-modal images of the temporal bone and inner ear Open
Purpose The position and orientation of the head is maintained to be relatively similar during the CT / MR imaging process. However, the position / orientation dissimilarities present in the resulting images between patients, or between di…
View article: Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting Open
Recent innovations in diffusion probabilistic models have paved the way for significant progress in image, text and audio generation, leading to their applications in generative time series forecasting. However, leveraging such abilities t…
View article: Time Series Representation Learning with Supervised Contrastive Temporal Transformer
Time Series Representation Learning with Supervised Contrastive Temporal Transformer Open
Finding effective representations for time series data is a useful but challenging task. Several works utilize self-supervised or unsupervised learning methods to address this. However, there still remains the open question of how to lever…
View article: Time-Transformer: Integrating Local and Global Features for Better Time Series Generation
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Open
Generating time series data is a promising approach to address data deficiency problems. However, it is also challenging due to the complex temporal properties of time series data, including local correlations as well as global dependencie…
View article: Developing an Evidence-Based Surgical Curriculum: Learning from a Randomized Controlled Trial of Surgical Rehearsal in Virtual Reality
Developing an Evidence-Based Surgical Curriculum: Learning from a Randomized Controlled Trial of Surgical Rehearsal in Virtual Reality Open
BACKGROUND: Surgical rehearsal — patient-specific preoperative surgical practice — can be provided by virtual reality simulation. This study investigated the effect of surgical rehearsal on cortical mastoidectomy performance and procedure …
View article: Automatic analysis of cochlear response using electrocochleography signals during cochlear implant surgery
Automatic analysis of cochlear response using electrocochleography signals during cochlear implant surgery Open
Cochlear implants (CIs) provide an opportunity for the hearing impaired to perceive sound through electrical stimulation of the hearing (cochlear) nerve. However, there is a high risk of losing a patient’s natural hearing during CI surgery…
View article: A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images
A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images Open
Multi-modal three-dimensional (3-D) image segmentation is used in many medical applications, such as disease diagnosis, treatment planning, and image-guided surgery. Although multi-modal images provide information that no single image moda…
View article: Development of a virtual reality clinically oriented temporal bone anatomy module with randomised control study of three-dimensional display technology
Development of a virtual reality clinically oriented temporal bone anatomy module with randomised control study of three-dimensional display technology Open
Objective To investigate the effectiveness of a virtual reality (VR), three-dimensional (3D) clinically orientated temporal bone anatomy module, including an assessment of different display technologies. Methods A clinically orientated, pr…
View article: Segmented Pairwise Distance for Time Series with Large Discontinuities
Segmented Pairwise Distance for Time Series with Large Discontinuities Open
Time series with large discontinuities are common in many scenarios. However, existing distance-based algorithms (e.g., DTW and its derivative algorithms) may perform poorly in measuring distances between these time series pairs. In this p…
View article: Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss Open
Semantic segmentation is one of the key problems in the field of computer vision, as it enables computer image understanding. However, most research and applications of semantic segmentation focus on addressing unique segmentation problems…
View article: A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication
A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication Open
Automatic vehicle license plate recognition is an essential part of intelligent vehicle access control and monitoring systems. With the increasing number of vehicles, it is important that an effective real-time system for automated license…
View article: A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images
A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images Open
Pneumonia occurs when the lungs are infected by a bacterial, viral, or fungal infection. Globally, it is the largest solo infectious disease causing child mortality. Early diagnosis and treatment of this disease are critical to avoid death…
View article: Street Sign Recognition Using Histogram of Oriented Gradients and Artificial Neural Networks
Street Sign Recognition Using Histogram of Oriented Gradients and Artificial Neural Networks Open
Street sign identification is an important problem in applications such as autonomous vehicle navigation and aids for individuals with vision impairments. It can be especially useful in instances where navigation techniques such as global …
View article: A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks
A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks Open
Three-dimensional (3D) medical image classification is useful in applications such as disease diagnosis and content-based medical image retrieval. It is a challenging task due to several reasons. First, image intensity values are vastly di…
View article: Dimensionality-Driven Learning with Noisy Labels
Dimensionality-Driven Learning with Noisy Labels Open
Datasets with significant proportions of noisy (incorrect) class labels present challenges for training accurate Deep Neural Networks (DNNs). We propose a new perspective for understanding DNN generalization for such datasets, by investiga…
View article: Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Open
Deep Neural Networks (DNNs) have recently been shown to be vulnerable against adversarial examples, which are carefully crafted instances that can mislead DNNs to make errors during prediction. To better understand such attacks, a characte…
View article: Do experts practice what they profess?
Do experts practice what they profess? Open
We investigated the variation of drilled regions of expert and trainee surgeons performing virtual temporal bone surgery to identify their compliance with standard drilling procedures. To this end, we recruited seven expert and six trainee…
View article: Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training Open
Simulation-based training (SBT) is gaining popularity as a low-cost and convenient training technique in a vast range of applications. However, for a SBT platform to be fully utilized as an effective training tool, it is essential that fee…
View article: Providing Effective Real-time Feedback in Simulation-based Surgical Training
Providing Effective Real-time Feedback in Simulation-based Surgical Training Open
Virtual reality simulation is becoming popular as a training platform in surgical education. However, one important aspect of simulation-based surgical training that has not received much attention is the provision of automated real-time p…
View article: Feedback Techniques in Computer-Based Simulation Training: A Survey
Feedback Techniques in Computer-Based Simulation Training: A Survey Open
Computer-based simulation training (CBST) is gaining popularity in a vast range of applications such as surgery, rehabilitation therapy, military applications, and driver/pilot training, as it offers a low-cost, easily-accessible and effec…