137 citations · 694 across the 38 of their papers we have counts for
44 papers
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection
Negin Ghamsarian, Yosuf El-Shabrawi, Sahar Nasirihaghighi +5
In recent years, the landscape of computer-assisted interventions and post-operative surgical video analysis has been dramatically reshaped by deep-learning techniques, resulting i…
Correlation-aware active learning for surgery video segmentation
Fei Wu, Pablo Marquez-Neila, Mingyi Zheng +2
Semantic segmentation is a complex task that relies heavily on large amounts of annotated image data. However, annotating such data can be time-consuming and resource-intensive, es…
DeepPyramid+: Medical Image Segmentation using Pyramid View Fusion and Deformable Pyramid Reception
Negin Ghamsarian, Sebastian Wolf, Martin Zinkernagel +2
Semantic Segmentation plays a pivotal role in many applications related to medical image and video analysis. However, designing a neural network architecture for medical image and…
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…
Hyperbolic Random Forests
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman +1
Hyperbolic space is becoming a popular choice for representing data due to the hierarchical structure - whether implicit or explicit - of many real-world datasets. Along with it co…
StofNet: Super-resolution Time of Flight Network
Christopher Hahne, Michel Hayoz, Raphael Sznitman
Time of Flight (ToF) is a prevalent depth sensing technology in the fields of robotics, medical imaging, and non-destructive testing. Yet, ToF sensing faces challenges from complex…