167 citations · 176 across the 11 of their papers we have counts for
12 papers
Depth-guided Geometric Adaptation for Few-shot Image Classification
Zhiqi Miao, Estefanía Talavera, Weichuan Zhang +1
Few-shot image classification (FSIC) frequently suffers from visual ambiguity, where background clutter and RGB appearance similarities hinder discriminative feature matching in da…
Beyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment
Marko Haralović, Zhiqi Miao, Alexander Machiel Bont +3
Surgical performance assessment in minimally invasive surgery largely relies on manual expert review, making it time-consuming, subjective, and difficult to scale. While existing s…
Uncertainty Identifies Difficult Samples Across Methods: A Multi-Task Study on a Heterogeneous Skin Lesion Dataset
Leon Koole, Jiapan Guo, Matias Valdenegro-Toro
Skin lesion classifiers can be confidently wrong on the cases that matter most, so knowing when a prediction should not be trusted is clinically as useful as the prediction. We stu…
Improving Automatic Speech Recognition for Speakers Treated for Oral Cancer using Data Augmentation and LLM Error Correction
Hidde Folkertsma, Thomas Tienkamp, Sebastiaan de Visscher +4
In recent years, the performance of automatic speech recognition (ASR) systems has made considerable progress. Unfortunately, for people with speech impairments, such as people tre…
Meningioma Analysis and Diagnosis using Limited Labeled Samples
Jiamiao Lu, Wei Wu, Ke Gao +8
The biological behavior and treatment response of meningiomas depend on their grade, making an accurate diagnosis essential for treatment planning and prognosis assessment. We obse…
Deep learning-based neurodevelopmental assessment in preterm infants
Lexin Ren, Jiamiao Lu, Weichuan Zhang +6
Preterm infants (born between 28 and 37 weeks of gestation) face elevated risks of neurodevelopmental delays, making early identification crucial for timely intervention. While dee…
Gotta catch 'em all! Towards File Localisation from Issues at Large
Jesse Maarleveld, Jiapan Guo, Daniel Feitosa
Bug localisation, the study of developing methods to localise the files requiring changes to resolve bugs, has been researched for a long time to develop methods capable of saving…
Feature Complementation Architecture for Visual Place Recognition
Weiwei Wang, Meijia Wang, Haoyi Wang +5
Visual place recognition (VPR) plays a crucial role in robotic localization and navigation. The key challenge lies in constructing feature representations that are robust to enviro…
Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection
Jie Ren, Wenya Yu, Jiapan Guo +2
Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction. In this work, second…
Recurrent convolutional neural networks for mandible segmentation from computed tomography
Bingjiang Qiu, Jiapan Guo, Joep Kraeima +4
Recently, accurate mandible segmentation in CT scans based on deep learning methods has attracted much attention. However, there still exist two major challenges, namely, metal art…
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
Sunyi Zheng, Jiapan Guo, Xiaonan Cui +3
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule d…
3D segmentation of mandible from multisectional CT scans by convolutional neural networks
Bingjiang Qiu, Jiapan Guo, J. Kraeima +3
Segmentation of mandibles in CT scans during virtual surgical planning is crucial for 3D surgical planning in order to obtain a detailed surface representation of the patients bone…