activity
20212025
most citedST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery

7 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2025

EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control

An Wang, Rulin Zhou, Mengya Xu +7

Visualizing subtle vascular motions in endoscopic surgery is crucial for surgical precision and decision-making, yet remains challenging due to the complex and dynamic nature of su…

cs.AI2022

Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding

Lalithkumar Seenivasan, Mobarakol Islam, Mengya Xu +2

Purpose: Surgery scene understanding with tool-tissue interaction recognition and automatic report generation can play an important role in intra-operative guidance, decision-makin…

cs.CV2021★ 7 cited

ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery

Mobarakol Islam, Vibashan VS, Chwee Ming Lim +1

Representation learning of the task-oriented attention while tracking instrument holds vast potential in image-guided robotic surgery. Incorporating cognitive ability to automate t…

cs.RO2021

RASEC: Rescaling Acquisition Strategy with Energy Constraints under SE-OU Fusion Kernel for Active Trachea Palpation and Incision Recommendation in Laryngeal Region

Wenchao Yue, Fan Bai, Jianbang Liu +4

A novel palpation-based incision detection strategy in the laryngeal region, potentially for robotic tracheotomy, is proposed in this letter. A tactile sensor is introduced to meas…

cs.CV2021

Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation

Mengya Xu, Mobarakol Islam, Chwee Ming Lim +1

Generating surgical reports aimed at surgical scene understanding in robot-assisted surgery can contribute to documenting entry tasks and post-operative analysis. Despite the impre…

cs.RO2021★ 2 cited

Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery

Mengya Xu, Mobarakol Islam, Chwee Ming Lim +1

Generating a surgical report in robot-assisted surgery, in the form of natural language expression of surgical scene understanding, can play a significant role in document entry ta…