232 citations · 282 across the 12 of their papers we have counts for
15 papers
PICO: Projection-Informed Consistency Optimisation for 6DoF Surgical Tool Pose Estimation
Lucy Fothergill, Pietro Valdastri, Dominic Jones +1
Purpose: Accurate 6 DoF pose estimation of surgical tools is critical for automa- tion, robotic proprioception, and safe interaction with the tissue operated on. Kinematics-based a…
TTDF: A Two-Stage Framework for Reliable Surgical Phase Transition Detection
Yushi Guo, Pietro Valdastri, Duygu Sarikaya
Reliable workflow transition detection is important for context-aware surgical assistance and downstream decision support. However, online surgical phase recognizers primarily focu…
STSG-VQA: Evidence-Grounded Temporal Question Answering from Surgical Spatio-Temporal Scene Graphs
Jing Li, Duygu Sarikaya
Despite recent advances in surgical vision-language models (VLMs), temporal reasoning remains limited because existing supervision is largely frame-centric. Frame-level scene graph…
Current validation practice undermines surgical AI development
Annika Reinke, Ziying O. Li, Minu D. Tizabi +98
Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contr…
NeeCo: Image Synthesis of Novel Instrument States Based on Dynamic and Deformable 3D Gaussian Reconstruction
Tianle Zeng, Junlei Hu, Gerardo Loza Galindo +4
Computer vision-based technologies significantly enhance surgical automation by advancing tool tracking, detection, and localization. However, Current data-driven approaches are da…
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…
An Efficient Polyp Segmentation Network
Tugberk Erol, Duygu Sarikaya
Cancer is a disease that occurs as a result of the uncontrolled division and proliferation of cells. Colon cancer is one of the most common types of cancer in the world. Polyps tha…
PlutoNet: An Efficient Polyp Segmentation Network with Modified Partial Decoder and Decoder Consistency Training
Tugberk Erol, Duygu Sarikaya
Deep learning models are used to minimize the number of polyps that goes unnoticed by the experts and to accurately segment the detected polyps during interventions. Although state…
Human Gaze Guided Attention for Surgical Activity Recognition
Abdishakour Awale, Duygu Sarikaya
Modeling and automatically recognizing surgical activities are fundamental steps toward automation in surgery and play important roles in providing timely feedback to surgeons. Acc…
MIcro-Surgical Anastomose Workflow recognition challenge report
Arnaud Huaulmé, Duygu Sarikaya, Kévin Le Mut +12
The "MIcro-Surgical Anastomose Workflow recognition on training sessions" (MISAW) challenge provided a data set of 27 sequences of micro-surgical anastomosis on artificial blood ve…
Surgical Data Science -- from Concepts toward Clinical Translation
Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya +47
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a…
Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection
Duygu Sarikaya, Jason J. Corso, Khurshid A. Guru
Video understanding of robot-assisted surgery (RAS) videos is an active research area. Modeling the gestures and skill level of surgeons presents an interesting problem. The insigh…
Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks
Duygu Sarikaya, Pierre Jannin
Modeling and recognition of surgical activities poses an interesting research problem. Although a number of recent works studied automatic recognition of surgical activities, gener…
Surgical Gesture Recognition with Optical Flow only
Duygu Sarikaya, Pierre Jannin
In this paper, we address the open research problem of surgical gesture recognition using motion cues from video data only. We adapt Optical flow ConvNets initially proposed by Sim…
Joint Surgical Gesture and Task Classification with Multi-Task and Multimodal Learning
Duygu Sarikaya, Khurshid A. Guru, Jason J. Corso
We propose a novel multi-modal and multi-task architecture for simultaneous low level gesture and surgical task classification in Robot Assisted Surgery (RAS) videos.Our end-to-end…