Hamidreza Pourreza's research while affiliated with Ferdowsi University Of Mashhad and other places
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Publications (20)
The gradual accumulation of noisy evidence for or against options is the main step in the perceptual decision-making process. Using brain-wide electrophysiological recording in mice (Steinmetz et al., 2019), we examined neural correlates of evidence accumulation across brain areas. We demonstrated that the neurons with drift-diffusion model (DDM)-l...
Image captioning is a research area of immense importance, aiming to generate natural language descriptions for visual content in the form of still images. The advent of deep learning and more recently vision-language pre-training techniques has revolutionized the field, leading to more sophisticated methods and improved performance. In this survey...
Content-based image retrieval is the process of retrieving a subset of images from an extensive image gallery based on visual contents, such as color, shape or spatial relations, and texture. In some applications, such as localization, image retrieval is employed as the initial step. In such cases, the accuracy of the top-retrieved images significa...
Content-based image retrieval is the process of retrieving a subset of images from an extensive image gallery based on visual contents, such as color, shape or spatial relations, and texture. In some applications, such as localization, image retrieval is employed as the initial step. In such cases, the accuracy of the top-retrieved images significa...
The gradual accumulation of noisy evidence for or against options is the main step in the perceptual decision-making process. Using brain-wide electrophysiological recording in mice (Steinmetz et al., 2019), we examined neural correlates of evidence accumulation across multiple brain areas. We demonstrated that the neurons across the brain exhibite...
One of the state-of-the-art computer vision applications is scene understanding and visual contextual awareness. Despite the numerous detection and classification-based studies, the literature lacks semantic segmentation methods for a more comprehensive and precise understanding of the soil included scene due to the scarcity of annotated datasets;...
bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective:
Multiple Sclerosis (MS) is an autoimmune and demyelinating disease that leads to lesions in the central nervous system. This disease can be tracked and diagnosed using Magnetic Resonance Imaging (MRI). A multitude of multimodality automatic bi...
Automatic image captioning, which involves describing the contents of an image, is a challenging problem with many applications in various research fields. One notable example is designing assistants for the visually impaired. Recently, there have been significant advances in image captioning methods owing to the breakthroughs in deep learning. Thi...
Objective: Multiple Sclerosis (MS) is an autoimmune, and demyelinating disease that leads to lesions in the central nervous system. This disease can be tracked and diagnosed using Magnetic Resonance Imaging (MRI). Up to now a multitude of multimodality automatic biomedical approaches is used to segment lesions which are not beneficial for patients...
(1) Background: As diabetes melllitus (DM) can affect the microvasculature, this study evaluates different clinical parameters and the vascular density of ocular surface microvasculature in diabetic patients. (2) Methods: In this cross‑sectional study, red‑free conjunctival photographs of diabetic individuals aged 30–60 were taken under defined con...
Perceptual decision making – the process of detecting and categorizing information – has been studied extensively over the last two decades. In this study, we aim to bridge the gap between neural and behavioral representations of the perceptual decision-making process. The neural characterization of decision-making was investigated by evaluating th...
In this paper, we present a multi-camera pose estimation procedure, for setups where overlap of view for each camera exists. Assuming that the cameras are internally calibrated, first we use an image from a static jig to compute an initial pose for the cameras that capture this jig. For the remaining cameras on the other hand, we use the images of...
Perceptual decision making, as a process of detecting and categorizing information, has been studied extensively over the last two decades. In this study, we investigated the neural characterization of the whole decision-making process by discovering the information processing stages. Such that, the timing and the neural signature of the processing...
Most existing systems for calibrating multi-projector display suffered from several important limitations such as dependence on point of view, restriction on the display surface and moreover the number of projectors and using obtrusive markers. In this paper, a new method for view-independent calibration for multi-projector displays is presented. G...
Early detection of microaneurysms (MAs), the first sign of Diabetic Retinopathy (DR), is an essential first step in automated detection of DR to prevent vision loss and blindness. This study presents a novel and different algorithm for automatic detection of MAs in fluorescein angiography (FA) fundus images, based on Radon transform (RT) and multi-...
The automated analysis of retinal images is a widely researched area which can help to diagnose several diseases like diabetic retinopathy in early stages of the disease. More specifically, separation of vessels and lesions is very critical as features of these structures are directly related to the diagnosis and treatment process of diabetic retin...
We presented a separation based optimization algorithm which, rather than
optimization the entire variables altogether, This would allow us to employ: 1)
a class of nonlinear functions with three variables and 2) a convex quadratic
multivariable polynomial, for minimization of reprojection error. Neglecting
the inversion required to minimize the no...
Citations
... In evidence accumulation models, the brain accumulates noisy sensory signals over time to form a perceptual decision (Ratcliff & Smith, 2004, Roitman & Shadlen, 2002. Although pioneering work on evidence accumulation focused on the role of parietal and frontal cortices in discrimination tasks (Roitman & Shadlen, 2002;Kim & Shadlen, 1999;Gold & Shadlen, 2007), it is now clear that evidence accumulation plays a larger role in cognition and is widely distributed in the brain, spanning occipital, inferior temporal, parietal and inferior frontal cortices (Gherman et al., 2023;Goueytes et al., 2024;Imani et al., 2023;Morito & Murata, 2022;Pedersen et al., 2015;Ploran et al., 2007;Shadlen & Kiani, 2013;Tremel & Wheeler, 2015). Single neurons and neuronal populations have also been shown to accumulate evidence for detection responses mostly in the parietal cortices (Cook & Maunsell, 2002;O'Connell et al., 2012;Pereira et al., 2021). ...
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... ChatGPT can then use these findings as the foundation for further diagnostic conclusions [124]. The process of describing an image's visual information in natural language using a visual understanding system and a language model that can produce coherent, syntactically accurate sentences is known as image captioning [125]. In addition, the newly launched ChatGPT4V now supports the entry of photos in addition to text. ...
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... This system had fewer parameters and provides acceptable accuracy in top-level retrieval images. Experimental evaluation shows that the model can extract more abundant information by expanding the Receptive field, improving the accuracy of image retrieval without increasing the depth or complexity of the model [9]. Siuly et al. proposed a feature extraction method based on deep ResNet to automatically extract representative features from Electroencephalography signal data of schizophrenic patients to identify schizophrenia. ...
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... Various performance metrics are used to evaluate the model and perform the semantic image segmentation such as F1-Score [also known as Dice coefficient (DC)] estimates the correlation of ground truth and predicted masking image segmentation by Eq. 2, intersection over union (IoU) is used to measure the overlap between the masking image, i.e. ground truth labels and predicted labels by Eq. 3 and recall, as shown in Eq. 4. DC and IoU are bounded between zero and one, with zero representing no overlap between the ground truth and predicted mask while one represents an overlap [28,29]. The study methodology includes precise measurement of leaf area proportion to estimate disease severity [30]. ...
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... Sadeghibarkhi et al. [16] present a method for accurately segmenting MS lesions using MR images. Contrary to previous approaches that rely on multiple modalities, this method utilizes only the FLAIR image to achieve accurate segmentation. ...
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... All of these clinical neuropsychiatric conditions, to varying degrees, can impact our understanding of the mechanisms involved decision-making process related to different stages and neural signatures of information processing. This process requires coherence, stimuli, and spatial orientation [90]. The sensory system supports cognition and provides the basis for coordinated physical activities that influence decision-making [91]. ...
... (1) preattention, (2) encoding, (3) memory retrieval, (4) decision, and (5) response (Anderson et al., 2016). The HsMM-MVPA method has been proved to be a versatile method for detecting processing stages in a range of tasks (Imani, Harati, Pourreza, & Goudarzi, 2020;Anderson et al., 2018;Portoles, Borst, & van Vugt, 2018;Zhang, van Vugt, Borst, & Anderson, 2018;Zhang, Walsh, & Anderson, 2017Walsh, Gunzelmann, & Anderson, 2017;Zhang, Borst, Kass, & Anderson, 2017;Borst & Anderson, 2015). At the same time, the interpretation of discovered stages remains a challenge. ...
... The average local and global alignment errors of their method in different environments were both less than 3 pixels. Bajestani et al. [13] proposed a calibration method of the multi-projector displays through solving optimization problem. The camera-projector pairs needed to be calibrated to extract the 3D shape observed in their field of views to perform the global registration. ...
... Javidi et al. in Ref. 28, introduced a new RVS method based on morphology. The retinal region was extracted from the image's G-channel, using Otsu thresholding and then, the morphological operation was applied to refine it. ...
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... The acquisition speed of trolley-mounted GPR is up to 4 km/h. In general, real-time processing speed can be achieved in the radar acquisition processing when the FPS of the model exceeds 30 (Naghavi and Pourreza, 2018). Therefore, the detection algorithm proposed can detect underground pipelines in a real-time. ...
