2 citations · 4 across the 10 of their papers we have counts for
10 papers
StepAL: Step-aware Active Learning for Cataract Surgical Videos
Nisarg A. Shah, Bardia Safaei, Shameema Sikder +2
Active learning (AL) can reduce annotation costs in surgical video analysis while maintaining model performance. However, traditional AL methods, developed for images or short vide…
RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation
Nuren Zhaksylyk, Ibrahim Almakky, Jay Paranjape +4
Accurate surgical instrument segmentation is essential in cataract surgery for tasks such as skill assessment and workflow optimization. However, limited annotated data makes it di…
:~Cataract Surgical Masked Autoencoder (MAE) based Pre-training
Nisarg A. Shah, Wele Gedara Chaminda Bandara, Shameema Skider +2
Automated analysis of surgical videos is crucial for improving surgical training, workflow optimization, and postoperative assessment. We introduce a CSMAE, Masked Autoencoder (MAE…
Federated Black-Box Adaptation for Semantic Segmentation
Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula +1
Federated Learning (FL) is a form of distributed learning that allows multiple institutions or clients to collaboratively learn a global model to solve a task. This allows the mode…
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula +1
Medical image segmentation has been traditionally approached by training or fine-tuning the entire model to cater to any new modality or dataset. However, this approach often requi…
Blackbox Adaptation for Medical Image Segmentation
Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula +1
In recent years, various large foundation models have been proposed for image segmentation. There models are often trained on large amounts of data corresponding to general compute…
An Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models
Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel +7
Purpose: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to co…
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video
Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel +9
Generating accurate 3D reconstructions from endoscopic video is a promising avenue for longitudinal radiation-free analysis of sinus anatomy and surgical outcomes. Several methods…
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos
Jay N. Paranjape, Shameema Sikder, Vishal M. Patel +1
Surgical tool presence detection is an important part of the intra-operative and post-operative analysis of a surgery. State-of-the-art models, which perform this task well on a pa…
Video-based assessment of intraoperative surgical skill
Sanchit Hira, Digvijay Singh, Tae Soo Kim +4
Purpose: The objective of this investigation is to provide a comprehensive analysis of state-of-the-art methods for video-based assessment of surgical skill in the operating room.…