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IMG-20230929-WA0200 (1)

Research Visit To RPTU, Germany By MachVIS Team

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khurram phd

Syed Khurram Jah Rizvi has successfully defended his PhD Dissertation

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open_house_awards

Industry Recognizes Excellence: Machine Learning Lab Students Win Top Awards at Open House 2023

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DALL·E 2023-12-01 12.39.25 - An image visualizing 'Crop Type Classification using Multi-temporal Satellite Imagery'. The scene should depict a satellite orbiting Earth, with a foc

Crop Type Classification using Multi-temporal Satellite Imagery

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DALL·E 2023-12-01 16.15.43 - A detailed and conceptual image showing 'Learning of Disease Specific Knowledge Graph from Unstructured Medical Health Records & Radiology Reports'. T

Learning of Disease Specific Knowledge Graph from Unstructured Medical Health Records & Radiology Reports

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DALL·E 2024-08-14 05.42.27 - A high-tech, futuristic scene showcasing vehicle re-identification in a busy urban environment for visual surveillance. The image features multiple ve

Vehicle re-identification for Visual Surveillance

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DALL·E 2023-11-10 16.46.21 - Create a detailed illustration for 'Attention-aware Feature Fusion based Nuclei Instance Segmentation and Type Classification Using Histology Images'

Attention-aware Feature Fusion based Nuclei Instance Segmentation and Type Classification Using Histology Images

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DALL·E 2023-11-10 16.46.29 - Illustrate 'AI-Powered Cephalometric Landmark Detection for Orthodontic Diagnosis_ Framework, Dataset, and Detection Challenge'. The image should disp

AI-Powered Cephalometric Landmark Detection for Orthodontic Diagnosis: Framework, Dataset, and Detection Challenge

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DALL·E 2023-12-01 16.17.28 - An intricate image depicting 'Learning Irritable Bowel Syndrome (IBS) Endo-phenotypes from Multidimensional Clinical Data using Machine Learning'. The

Learning Irritable Bowel Syndrome (IBS) Endo-phenotypes from Multidimensional Clinical Data using Machine Learning

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DALL·E 2023-12-01 16.20.02 - A dynamic visualization of 'Tapping the power of clinical data to identify multidimensional Irritable Bowel Syndrome (IBS) endo-phenotype'. The image

Tapping the Power of Clinical Data to Identify Multidimensional Irritable Bowel Syndrome (IBS) Endo-Phenotype

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A  multidisciplinary research group performing basic and applied research in computer vision, data science, and related AI & machine learning areas.

What We Offer

- Applied Research
- AI Consulting Services
- Skills Development Bootcamps

Contact Us

  • NUST, Sector H-12, Islamabad, Pakistan
  • vision@seecs.edu.pk
  • 051 8862151
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Machine Vision and Intelligent Systems Lab | NUST-SEECS | © 2024