Pilot study and design conceptualization for a slim single-port surgical manipulator with spring backbones and catheter-size channels. - Hongliang Ren 001; Cai Xin Chen; Catherine Jiayi Cai; Krishna Ramachandra; Seenivasan Lalithkumar (ICIA, 2017)

Learning and Reasoning with the Graph Structure Representation in Robotic Surgery. - Mobarakol Islam; Seenivasan Lalithkumar; Lim Chwee Ming; Hongliang Ren 001 (MICCAI (3), 2020)

Stent Deployment Detection Using Radio Frequency-Based Sensor and Convolutional Neural Networks. - Mengya Xu; Seenivasan Lalithkumar; Leonard Leong Litt Yeo; Hongliang Ren 001 (Adv. Intell. Syst., 2020)

ScoopNet: 6DOF Pose Estimation pipeline for Origami-inspired Worm Robots. - Rohit Lal; Ruphan Swaminathan; Seenivasan Lalithkumar; Liang Qiu 002; Hongliang Ren 001 (ICDL, 2021)

Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition. - Mobarakol Islam; Seenivasan Lalithkumar; Hongliang Ren 001; Ben Glocker (CoRR, 2021)

Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer. - Lalithkumar Seenivasan; Mobarakol Islam; Adithya K. Krishna; Hongliang Ren 001 (MICCAI (8), 2022)

PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? - Arnaud Huaulmé; Kanako Harada; Quang-Minh Nguyen; Bogyu Park; Seungbum Hong; Min-Kook Choi; Michael Peven; Yunshuang Li; Yonghao Long 001; Qi Dou 001; Satyadwyoom Kumar; Seenivasan Lalithkumar; et al. (CoRR, 2022)

Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding. - Seenivasan Lalithkumar; Sai Mitheran; Mobarakol Islam; Hongliang Ren 001 (IEEE Robotics Autom. Lett., 2022)

Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks. - Winnie Pang; Mobarakol Islam; Sai Mitheran; Lalithkumar Seenivasan; Mengya Xu; Hongliang Ren 001 (IEEE Robotics Autom. Lett., 2022)

Surgical-VQLA:Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery. - Long Bai 008; Mobarakol Islam; Lalithkumar Seenivasan; Hongliang Ren 001 (ICRA, 2023)

SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery. - Lalithkumar Seenivasan; Mobarakol Islam; Gokul Kannan; Hongliang Ren 001 (MICCAI (9), 2023)

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery. - Long Bai 008; Mobarakol Islam; Lalithkumar Seenivasan; Hongliang Ren 001 (CoRR, 2023)

SimCol3D - 3D Reconstruction during Colonoscopy Challenge. - Anita Rau; Sophia Bano; Yueming Jin; Pablo Azagra; Javier Morlana; Edward Sanderson; Bogdan J. Matuszewski; Jae Young Lee; Dong-Jae Lee; Erez Posner; Netanel Frank; Varshini Elangovan; et al. (CoRR, 2023)

Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding. - Lalithkumar Seenivasan; Mobarakol Islam; Mengya Xu; Chwee Ming Lim; Hongliang Ren 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. - Chinedu Innocent Nwoye; Deepak Alapatt; Tong Yu 009; Armine Vardazaryan; Fangfang Xia; Zixuan Zhao; Tong Xia; Fucang Jia; Yuxuan Yang; Hao Wang 081; Derong Yu; Guoyan Zheng; et al. (Medical Image Anal., 2023)

PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition? - Arnaud Huaulmé; Kanako Harada; Quang-Minh Nguyen; Bogyu Park; Seungbum Hong; Min-Kook Choi; Michael Peven; Yunshuang Li; Yonghao Long 001; Qi Dou 001; Satyadwyoom Kumar; Seenivasan Lalithkumar; et al. (Comput. Methods Programs Biomed., 2023)

Paced-curriculum distillation with prediction and label uncertainty for image segmentation. - Mobarakol Islam; Lalithkumar Seenivasan; S. P. Sharan; V. K. Viekash; Bhavesh Gupta; Ben Glocker; Hongliang Ren 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions - An EndoVis'24 Challenge. - Hao Ding; Tuxun Lu; Yuqian Zhang; Ruixing Liang; Hongchao Shu; Lalithkumar Seenivasan; Yonghao Long 001; Qi Dou 001; Cong Gao 003; Mathias Unberath (CoRR, 2024)

Towards Robust Automation of Surgical Systems via Digital Twin-based Scene Representations from Foundation Models. - Hao Ding; Lalithkumar Seenivasan; Hongchao Shu; Grayson Byrd; Han Zhang; Pu Xiao; Juan Antonio Barragan; Russell H. Taylor; Peter Kazanzides; Mathias Unberath (CoRR, 2024)

Seamless Augmented Reality Integration in Arthroscopy: A Pipeline for Articular Reconstruction and Guidance. - Hongchao Shu; Mingxu Liu; Lalithkumar Seenivasan; Suxi Gu; Ping-Cheng Ku; Jonathan Knopf; Russell H. Taylor; Mathias Unberath (CoRR, 2024)

StraightTrack: Towards Mixed Reality Navigation System for Percutaneous K-wire Insertion. - Han Zhang; Benjamin D. Killeen; Yu-Chun Ku; Lalithkumar Seenivasan; Yuxuan Zhao; Mingxu Liu; Yue Yang; Suxi Gu; Alejandro Martin-Gomez; Russell H. Taylor; Greg Osgood; Mathias Unberath (CoRR, 2024)

ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution. - Corban Rivera; Grayson Byrd; William Paul; Tyler Feldman; Meghan Booker; Emma Holmes; David Handelman; Bethany Kemp; Andrew Badger; Aurora Schmidt; Krishna Murthy Jatavallabhula; Celso M. de Melo; et al. (CoRR, 2024)

SimCol3D - 3D reconstruction during colonoscopy challenge. - Anita Rau; Sophia Bano; Yueming Jin; Pablo Azagra; Javier Morlana; Rawen Kader; Edward Sanderson; Bogdan J. Matuszewski; Jae Young Lee; Dong-Jae Lee; Erez Posner; Netanel Frank; et al. (Medical Image Anal., 2024)

Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery. - Long Bai 008; Guankun Wang; Mobarakol Islam; Lalithkumar Seenivasan; An Wang 007; Hongliang Ren 001 (Inf. Fusion, 2025)

Online Reasoning Video Segmentation with Just-in-Time Digital Twins. - Yiqing Shen 003; Bohan Liu; Chenjia Li; Lalithkumar Seenivasan; Mathias Unberath (CoRR, 2025)

Privacy-Preserving Operating Room Workflow Analysis using Digital Twins. - Alejandra Perez; Han Zhang; Yu-Chun Ku; Lalithkumar Seenivasan; Roger Soberanis; Jose L. Porras; Richard Day; Jeff Jopling; Peter Najjar; Mathias Unberath (CoRR, 2025)

Position: Foundation Models Need Digital Twin Representations. - Yiqing Shen 003; Hao Ding; Lalithkumar Seenivasan; Tianmin Shu; Mathias Unberath (CoRR, 2025)

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance. - Lalithkumar Seenivasan; Jiru Xu; Roger D. Soberanis-Mukul; Hao Ding; Grayson Byrd; Yu-Chun Ku; Jose L. Porras; Masaru Ishii; Mathias Unberath (CoRR, 2025)

Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition. - Catalina Gomez; Lalithkumar Seenivasan; Xinrui Zou; Jeewoo Yoon; Sirui Chu; Ariel Leong; Patrick Kramer; Yu-Chun Ku; Jose L. Porras; Alejandro Martin-Gomez; Masaru Ishii; Mathias Unberath (CoRR, 2025)