Negin Ghamsarian

Orcid: 0000-0002-0908-8972

According to our database1, Negin Ghamsarian authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception.
Int. J. Comput. Assist. Radiol. Surg., May, 2024

Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning.
IEEE Access, 2024

Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection.
CoRR, 2023

Deep-Learning-Assisted Analysis of Cataract Surgery Videos.
CoRR, 2023

Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Action Recognition in Video Recordings from Gynecologic Laparoscopy.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Blind MV-based video steganalysis based on joint inter-frame and intra-frame statistics.
Multim. Tools Appl., 2021

DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos.
CoRR, 2021

LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Undetectable video steganography by considering spatio-temporal steganalytic features in the embedding cost function.
Multim. Tools Appl., 2020

Relevance-Based Compression of Cataract Surgery Videos Using Convolutional Neural Networks.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Enabling Relevance-Based Exploration of Cataract Videos.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Deblurring Cataract Surgery Videos Using a Multi-Scale Deconvolutional Neural Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Relevance Detection in Cataract Surgery Videos by Spatio- Temporal Action Localization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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