MIRA

Medical Imaging Research & Analysis

Research Focus

  • Automatic Region of Interest (ROI) detection from radiographic images using AI.
  • Development of AI-Enabled Computer-Aided Diagnosis and Detection (CAD) systems for automatic disease detection, prediction, intervention, and treatment planning.
  • Fundamental research on dependency analysis and empirical study of deep learning methods.

Objectives

  • Bridge medical imaging and artificial intelligence (AI) to develop robust, scalable, and automated diagnostic tools.
  • Leverage the advancements in AI and image processing for applications in medical fields such as radiology, pathology, ophthalmology etc.
  • Interdisciplinary collaborations with researchers, clinicians, government agencies and industry experts to enhance patient care.
  • Secure, privacy-preserving, and explainable AI models to ensure reliability in medical image analysis.

People

Director

Saadia Binte Alam, PhD
Saadia Binte Alam, PhD

Saadia Binte Alam, PhD

  • Director, MIRA & WiSE Wings

  • Associate Professor

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Published at

HCII, Scientific Reports, Cognitive Computation, Neural Computing and Applications

Co-Director

Md Rashedur Rahman, D. Eng.
Md. Rashedur Rahman, D. Eng.

Md Rashedur Rahman, D. Eng.

  • Co-Director, MIRA & NEST Wings

  • Assistant Professor

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Published at

CHI, HCII, Scientific Reports, Cognitive Computation, Neural Computing and Applications

Supervisor

Collaborator

Fahad Parvez Mahdi, PhD
Fahad Parvez Mahdi, PhD

Fahad Parvez Mahdi, PhD

  • Collaborator, MIRA Wing

  • Research Engineer

    Research and Development Department

    Hutzper Inc., Japan

Projects (4)

Pelvic Bone Segmentation Guided Fracture Classification
MIRA2025

Pelvic Bone Segmentation Guided Fracture Classification

Pelvic fractures are critical injuries that require timely and precise diagnosis. We are developing an AI-based automated computer-aided diagnosis (CAD) system to enhance the accuracy and reliability…

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Detection-Guided Kidney Abnormality Segmentation
MIRA2025

Detection-Guided Kidney Abnormality Segmentation

Tumors and cysts are two major kidney abnormalities which can lead to cancer if left undetected and untreated timely. The current diagnostic process depend on computed tomography (CT) scan screening…

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ROI-Guided Lumbar Spine Degeneration Detection
MIRA2025

ROI-Guided Lumbar Spine Degeneration Detection

Lumbar Spine Degeneration, otherwise known as Disk Degeneration Disease, is the deterioration/weakening of the intervertebral disks in the lower back, causing them to lose their ability to absorb…

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UFlow-Net: A Unified Approach for Improved Video Frame Interpolation
MIRA2025

UFlow-Net: A Unified Approach for Improved Video Frame Interpolation

In computer vision, video frame interpolation plays a significant role in video enhancement by synthesizing intermediate frames to improve temporal resolution and visual quality. This techniques help…

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Recent publications (1)

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