Relevance Detection in Cataract Surgery Videos by Spatio- Temporal Action Localization. - Negin Ghamsarian; Mario Taschwer; Doris Putzgruber-Adamitsch; Stephanie Sarny; Klaus Schoeffmann (ICPR, 2020)

Deblurring Cataract Surgery Videos Using a Multi-Scale Deconvolutional Neural Network. - Negin Ghamsarian; Mario Taschwer; Klaus Schoeffmann (ISBI, 2020)

Enabling Relevance-Based Exploration of Cataract Videos. - Negin Ghamsarian (ICMR, 2020)

Relevance-Based Compression of Cataract Surgery Videos Using Convolutional Neural Networks. - Negin Ghamsarian; Hadi Amirpour; Christian Timmerer; Mario Taschwer; Klaus Schöffmann (ACM Multimedia, 2020)

Undetectable video steganography by considering spatio-temporal steganalytic features in the embedding cost function. - Negin Ghamsarian; Morteza Khademi (Multim. Tools Appl., 2020)

ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos. - Negin Ghamsarian; Mario Taschwer; Doris Putzgruber-Adamitsch; Stephanie Sarny; Yosuf El-Shabrawi; Klaus Schöffmann (ICONIP (3), 2021)

LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos. - Negin Ghamsarian; Mario Taschwer; Doris Putzgruber-Adamitsch; Stephanie Sarny; Yosuf El-Shabrawi; Klaus Schoeffmann (MICCAI (8), 2021)

DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. - Negin Ghamsarian; Mario Taschwer; Klaus Schoeffmann (CoRR, 2021)

Blind MV-based video steganalysis based on joint inter-frame and intra-frame statistics. - Negin Ghamsarian; Klaus Schoeffmann; Morteza Khademi (Multim. Tools Appl., 2021)

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. - Negin Ghamsarian; Mario Taschwer; Raphael Sznitman; Klaus Schoeffmann (MICCAI (5), 2022)

Action Recognition in Video Recordings from Gynecologic Laparoscopy. - Sahar Nasirihaghighi; Negin Ghamsarian; Daniela Stefanics; Klaus Schoeffmann; Heinrich Husslein (CBMS, 2023)

Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. - Negin Ghamsarian; Javier Gamazo Tejero; Pablo Márquez-Neila; Sebastian Wolf 005; Martin Zinkernagel; Klaus Schoeffmann; Raphael Sznitman (MICCAI (1), 2023)

Deep-Learning-Assisted Analysis of Cataract Surgery Videos. - Negin Ghamsarian (CoRR, 2023)

Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection. - Negin Ghamsarian; Yosuf El-Shabrawi; Sahar Nasirihaghighi; Doris Putzgruber-Adamitsch; Martin Zinkernagel; Sebastian Wolf 005; Klaus Schoeffmann; Raphael Sznitman (CoRR, 2023)

Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers. - Sahar Nasirihaghighi; Negin Ghamsarian; Heinrich Husslein; Klaus Schoeffmann (MMM (5), 2024)

Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning. - Negin Ghamsarian; Doris Putzgruber-Adamitsch; Stephanie Sarny; Raphael Sznitman; Klaus Schoeffmann; Yosuf El-Shabrawi (IEEE Access, 2024)

DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception. - Negin Ghamsarian; Sebastian Wolf 005; Martin Zinkernagel; Klaus Schoeffmann; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2024)

Dual Invariance Self-Training for Reliable Semi-Supervised Surgical Phase Recognition. - Sahar Nasirihaghighi; Negin Ghamsarian; Raphael Sznitman; Klaus Schoeffmann (ISBI, 2025)

Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation. - Negin Ghamsarian; Sahar Nasirihaghighi; Klaus Schoeffmann; Raphael Sznitman (CoRR, 2025)

WetCat: Automating Skill Assessment in Wetlab Cataract Surgery Videos. - Negin Ghamsarian; Raphael Sznitman; Klaus Schoeffmann; Jens Kowal (CoRR, 2025)

GynSurg: A Comprehensive Gynecology Laparoscopic Surgery Dataset. - Sahar Nasirihaghighi; Negin Ghamsarian; Leonie Peschek; Matteo Munari; Heinrich Husslein; Raphael Sznitman; Klaus Schoeffmann (CoRR, 2025)