A5000617157- AI in cancer detection
- Mobile Ad Hoc Networks
- Digital Imaging for Blood Diseases
- Opportunistic and Delay-Tolerant Networks
- Medical Image Segmentation Techniques
- Cell Image Analysis Techniques
- Energy Efficient Wireless Sensor Networks
- Radiomics and Machine Learning in Medical Imaging
- Knee injuries and reconstruction techniques
- Cooperative Communication and Network Coding
- Lower Extremity Biomechanics and Pathologies
- Sports injuries and prevention
- Image and Object Detection Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Medical Imaging Techniques and Applications
- Multimodal Machine Learning Applications
- Gene expression and cancer classification
- Anomaly Detection Techniques and Applications
- Advanced Neural Network Applications
- Software-Defined Networks and 5G
- Video Analysis and Summarization
- Computational Geometry and Mesh Generation
- Dental Radiography and Imaging
- Image Processing Techniques and Applications
- Caching and Content Delivery
Concordia University
2016-2025
McGill University
2024
Iraqi University
2017
Concordia University Wisconsin
2010
Queen's University
2001
The effectiveness of the treatment breast cancer depends on its timely detection. An early step in diagnosis is cytological examination material obtained directly from tumor. This work reports advances computer-aided based analysis images fine needle biopsies to characterize these as either benign or malignant. Instead relying accurate segmentation cell nuclei, nuclei are estimated by circles using circular Hough transform. resulting then filtered keep only high-quality estimations for...
Knee kinematics during a drop vertical jump, measured by the Kinect V2 (Microsoft, Redmond, WA, USA), have been shown to be associated with an increased risk of non-contact anterior cruciate ligament injury. The accuracy and reliability Microsoft has yet assessed specifically for tracking coronal sagittal knee angles jump. Eleven participants performed three jumps that were recorded using both gold standard motion analysis system (Vicon, Los Angeles, CA, USA). initial coronal, peak left...
Classification of Breast Cancer Malignancy Using Cytological Images Fine Needle Aspiration Biopsies According to the World Health Organization (WHO), breast cancer (BC) is one most deadly cancers diagnosed among middle-aged women. Precise diagnosis and prognosis are crucial reduce high death rate. In this paper we present a framework for automatic malignancy grading fine needle aspiration biopsy tissue. The grade important factors taken into consideration during prediction behavior after...
Cavitary bone defects, defined as a volumetric loss of native tissue, require accurate preoperative imaging for treatment planning. While CT (computed tomography) has traditionally been the gold standard segmentation due to its superior resolution cortical bone, MRI (magnetic resonance imaging) offers unique advantages, particularly in visualizing soft tissue-bone interface. Furthermore, eliminates ionizing radiation associated with CT, making it an advantageous alternative, especially...
A large number of differential equation problems which admit traveling waves are usually defined on very or infinite domains. To numerically solve these smaller subdomains the original domain, artificial boundary conditions must be for subdomains. One type condition can minimize size such is absorbing condition. The imposition a technique used to reduce necessary spatial domain when solving partial equations that waves. Such have been extensively studied in context hyperbolic wave equations....
Synthesizing images from a given text description involves engaging two types of information: the content, which includes information explicitly described in (e.g., color, composition, etc.), and style, is usually not well location, quantity, size, etc.). However, previous works, it typically treated as process generating only i.e., without considering learning meaningful style representations. In this paper, we aim to learn variables that are disentangled latent space, representing content...
Background: Knee kinematic parameters during a drop vertical jump (DVJ) have been demonstrated to be associated with increased risk of noncontact anterior cruciate ligament (ACL) injury. However, standard motion analysis systems are not practical for routine screening. Affordable and sensor alternatives exist but require further validation in the context ACL injury assessment. Purpose/Hypothesis: To prospectively study DVJ as predictors collegiate athletes using an affordable capture system...
This work focuses on the segmentation and counting of peripheral blood smear particles which plays a vital role in medical diagnosis. Our approach profits from some powerful processing techniques. Firstly, method used for denoising image is based Bivariate wavelet. Secondly, edge preservation uses Kuwahara filter. Thirdly, new binarization technique introduced by merging Otsu Niblack methods. We have also proposed an efficient step-by-step procedure to determine solid binary objects modified...
Greg Aloupis, Thomas Fevens, Stefan Langerman, Tomomi Matsui, Antonio Mesa, Yurai Nunez, David Rappaport, and Godfried Toussaint *School of Computer Science, McGill University 3480 Street Montreal, Quebec, Canada H3A 2A7 {athens,godfried}@cs.mcgill.ca †Department Science Software Engineering, Concordia 1455 de Maisonneuve Boulevard West H3G 1M8 fevens@cs.concordia.ca ‡ Chercheur Qualifie du FNRS, Departement d’Informatique, Universite Libre Bruxelles CP212 Triomphe, 1050 Bruxelles, Belgium...
In position-based routing algorithms for ad-hoc networks, the nodes use geographical information to make decisions. Recent research in this field primarily addresses such two dimensional space (2D). However, real applications, may be distributed 3D space. paper we extend previous randomized from 2D space, and propose new that combine AB3D with a deterministic CFace (coordinate face) algorithm. The first algorithm AB3D-CFace(1)-AB3D starts until local minimum is reached. then switches using...
A crucial problem in ad hoc networks is finding an efficient and correct route between a source destination; however for many networks, more important providing energy because of, example, the limited battery life of wireless nodes. Most previous routing protocols make decision without taking into account budget In addition, when using fixed transmission power, nodes may waste power by transmitting with than needed reception. position- based algorithms, use geographical position to...
Quantitative phase imaging with off-axis digital holography in a microscopic configuration provides insight into the cells’ intracellular content and morphology. This is conventionally achieved by numerical reconstruction of recorded hologram, which requires precise setting parameters, including distance, proper unwrapping algorithm, component wave vectors. paper shows that deep learning can perform complex light propagation task independent parameters. We also show super-imposed twin-image...