Amit Aides
YOU?
Author Swipe
View article: Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy
Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy Open
Background The potential role and benefits of AI in surgery has yet to be determined. This study is a first step in developing an AI system for minimizing adverse events and improving patient’s safety. We developed an Artificial Intelligen…
View article: Detection of elusive polyps using a large-scale artificial intelligence system (with videos)
Detection of elusive polyps using a large-scale artificial intelligence system (with videos) Open
DEEP2 has a high sensitivity for polyp detection and was effective in increasing the detection of polyps both in colonoscopy videos and in real procedures with a low number of false alarms. (Clinical trial registration number: NCT04693078.…
View article: Detecting Deficient Coverage in Colonoscopies
Detecting Deficient Coverage in Colonoscopies Open
Colonoscopy is the tool of choice for preventing Colorectal Cancer, by detecting and removing polyps before they become cancerous. However, colonoscopy is hampered by the fact that endoscopists routinely miss 22-28% of polyps. While some o…
View article: LaSO: Label-Set Operations networks for multi-label few-shot learning
LaSO: Label-Set Operations networks for multi-label few-shot learning Open
Example synthesis is one of the leading methods to tackle the problem of few-shot learning, where only a small number of samples per class are available. However, current synthesis approaches only address the scenario of a single category …
View article: Vertical profiles of dust and other aerosol types above a coastal site
Vertical profiles of dust and other aerosol types above a coastal site Open
Monthly mean vertical profiles of aerosol type occurrences are determined from multiwavelength Raman and polarization lidar measurements above Haifa, Israel, in 2017. This contribution presents the applied methods and threshold values. The…
View article: RepMet: Representative-based metric learning for classification and one-shot object detection
RepMet: Representative-based metric learning for classification and one-shot object detection Open
Distance metric learning (DML) has been successfully applied to object classification, both in the standard regime of rich training data and in the few-shot scenario, where each category is represented by only a few examples. In this work,…
View article: In-situ multi-scattering tomography
In-situ multi-scattering tomography Open
To recover the three dimensional (3D) volumetric distribution of matter in an object, images of the object are captured from multiple directions and locations. Using these images tomographic computations extract the distribution. In highly…
View article: An Efficient Approach for Optical Radiative Transfer Tomography using the Spherical Harmonics Discrete Ordinates Method
An Efficient Approach for Optical Radiative Transfer Tomography using the Spherical Harmonics Discrete Ordinates Method Open
This paper introduces a method to preform optical tomography, using 3D radiative transfer as the forward model. We use an iterative approach predicated on the Spherical Harmonics Discrete Ordinates Method (SHDOM) to solve the optimization …