14 citations · 31 across the 17 of their papers we have counts for
4 papers · 1 filter
Dual Invariance Self-training for Reliable Semi-supervised Surgical Phase Recognition
Sahar Nasirihaghighi, Negin Ghamsarian, Raphael Sznitman +1
Accurate surgical phase recognition is crucial for advancing computer-assisted interventions, yet the scarcity of labeled data hinders training reliable deep learning models. Semi-…
Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning
Negin Ghamsarian, Doris Putzgruber-Adamitsch, Stephanie Sarny +3
A critical yet unpredictable complication following cataract surgery is intraocular lens dislocation. Postoperative stability is imperative, as even a tiny decentration of multifoc…
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch +3
Semantic segmentation in surgical videos is a prerequisite for a broad range of applications towards improving surgical outcomes and surgical video analysis. However, semantic segm…
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos
Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch +3
A critical complication after cataract surgery is the dislocation of the lens implant leading to vision deterioration and eye trauma. In order to reduce the risk of this complicati…