578 citations · 700 across the 22 of their papers we have counts for
13 papers · 1 filter
SurgNarrator: A Generative Retrieval Framework for Surgical Video Understanding
Yuqing Feng, Jiawei Ma, Kevin Qinghong Lin +6
Surgical procedures unfold as structured and recurring clinical events, whose real-time understanding via intraoperative surgical videos is critical for intraoperative decision-mak…
SAMSA 2.0: Prompting Segment Anything with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
Alfie Roddan, Tobias Czempiel, Chi Xu +2
We present SAMSA 2.0, an interactive segmentation framework for hyperspectral medical imaging that introduces spectral angle prompting to guide the Segment Anything Model (SAM) usi…
Explainable Image Classification with Reduced Overconfidence for Tissue Characterisation
Alfie Roddan, Chi Xu, Serine Ajlouni +3
The deployment of Machine Learning models intraoperatively for tissue characterisation can assist decision making and guide safe tumour resections. For image classification models,…
SAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
Alfie Roddan, Tobias Czempiel, Chi Xu +2
Hyperspectral imaging (HSI) provides rich spectral information for medical imaging, yet encounters significant challenges due to data limitations and hardware variations. We introd…
SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision
Utsav Rai, Haozheng Xu, Stamatia Giannarou
Accurate pose estimation of surgical tools in Robot-assisted Minimally Invasive Surgery (RMIS) is essential for surgical navigation and robot control. While traditional marker-base…
SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation
Haozheng Xu, Alistair Weld, Chi Xu +16
Accurate instrument pose estimation is a crucial step towards the future of robotic surgery, enabling applications such as autonomous surgical task execution. Vision-based methods…
Image Synthesis with Class-Aware Semantic Diffusion Models for Surgical Scene Segmentation
Yihang Zhou, Rebecca Towning, Zaid Awad +1
Surgical scene segmentation is essential for enhancing surgical precision, yet it is frequently compromised by the scarcity and imbalance of available data. To address these challe…
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis
Frank P. -W. Lo, Jianing Qiu, Zeyu Wang +6
Conventional approaches to dietary assessment are primarily grounded in self-reporting methods or structured interviews conducted under the supervision of dietitians. These methods…
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery
Joao Cartucho, Alistair Weld, Samyakh Tukra +23
This paper introduces the ``SurgT: Surgical Tracking" challenge which was organised in conjunction with MICCAI 2022. There were two purposes for the creation of this challenge: (1)…
Regularising disparity estimation via multi task learning with structured light reconstruction
Alistair Weld, Joao Cartucho, Chi Xu +2
3D reconstruction is a useful tool for surgical planning and guidance. However, the lack of available medical data stunts research and development in this field, as supervised deep…
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency
Baoru Huang, Jian-Qing Zheng, Anh Nguyen +6
Depth estimation is a crucial step for image-guided intervention in robotic surgery and laparoscopic imaging system. Since per-pixel depth ground truth is difficult to acquire for…
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou +1
Depth estimation from a stereo image pair has become one of the most explored applications in computer vision, with most of the previous methods relying on fully supervised learnin…
Real-time 3D Tracking of Articulated Tools for Robotic Surgery
Menglong Ye, Lin Zhang, Stamatia Giannarou +1
In robotic surgery, tool tracking is important for providing safe tool-tissue interaction and facilitating surgical skills assessment. Despite recent advances in tool tracking, exi…