Amir Fazlollahi

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Automated detection of small, low level shapes such as circular/spherical objects in images is a challenging computer vision problem. For many applications, especially microbleed detection in Alzheimer's disease, an automatic pre-screening scheme is required to identify potential seeds with high sensitivity and reasonable specificity. A new method is(More)
Susceptibility-weighted imaging (SWI) is recognized as the preferred MRI technique for visualizing cerebral vasculature and related pathologies such as cerebral microbleeds (CMBs). Manual identification of CMBs is time-consuming, has limited reliability and reproducibility, and is prone to misinterpretation. In this paper, a novel computer-aided microbleed(More)
�bstract— Simultaneous Localization and Mapping �SLAM) consists on building a map of an unknown environment, while simultaneously determining the location of the vehicle within this map. Building a map implies finding a proper representation for its salient features, which are used as landmarks for the localization problem. These landmarks must be very(More)
BACKGROUND Ishak and METAVIR scoring systems are among the most commonly used histopathological systems to evaluate chronic hepatitis. OBJECTIVE To assess the level of agreement between these two scoring systems in patients with chronic hepatitis B. METHODS Liver biopsy samples taken from 92 patients with chronic hepatitis B were considered as the(More)
Arterial spin labeling (ASL) is an emerging MRI technique for non-invasive measurement of cerebral blood flow (CBF). Compared to invasive perfusion imaging modalities, ASL suffers from low sensitivity due to poor signal-to-noise ratio (SNR), susceptibility to motion artifacts and low spatial resolution, all of which limit its reliability. In this work, the(More)
Tumors are typically analyzed as a single unit, despite their biologically heterogeneous nature. This limits correlations that can be drawn between regional variation and treatment outcome. Furthermore, despite the availability of high resolution 3-D medical imaging techniques, local outcomes, (e.g., tumor growth), are not easily measured. This paper(More)
Depression is a major cause of disability world-wide. The present paper reports on the results of our participation to the depression sub-challenge of the sixth Audio/Visual Emotion Challenge (AVEC 2016), which was designed to compare feature modalities (audio, visual, interview transcript-based) in gender-based and gender-independent modes using a variety(More)