Computational Imaging Group Computational Imaging Lab

The Computational Imaging Lab performs AI research in medical imaging, advancing diagnostics and treatment across multiple organs and modalities. Our work focuses on classification, segmentation, image translation, visual question answering, and image captioning. Sample work includes:

Brain Imaging

  • Image Translation: Paired-unpaired unsupervised attention-guided GAN produce improved MR-CT image synthesis, validated by radiologists and advanced loss functions. [Publications 1, 2, 3 & 4]
  • Segmentation: Deepfake-based synthetic data enhances brain tumor segmentation, outperforming traditional methods. [Publications 1 & 2]
  • Histopathology: Fractal analysis quantifies tumor microvascular networks and histological features, improving diagnostic accuracy. [Publications 1, 2, 3, 4, 5 & 6]
  • Visual Question Answering: Large language model-based framework aligns multimodal datasets in minutes, surpassing six VQA models in aiding radiologists. [Publications 1]

Lung Imaging

  • Classification: Noise-robust texture measures, such as wavelet packet and fractal dimensions, outperform conventional methods. [Publications 1 & 2]
  • Deepfake Detection: Benchmarking of DCNNs highlights ResNet50V2 and DenseNet169 as optimal for detecting deepfakes. [Publications 1]
  • Fractal Analysis: Contrast-enhanced CT-based fractal methods achieve improved accuracy in predicting tumor aggression and correlate with PET findings. [Publications 1 & 2]

Prostate Imaging

  • Segmentation: Automated k-means clustering and U-Net systems enhance prostate tissue gland segmentation and Gleason grading accuracy. [Publications 1, 2, 3 & 4]

Gastroenteropancreatic Imaging

  • Classification: Semi-automated Ki-67 index quantification demonstrates high agreement with manual grading, streamlining pathologist workflows. [Publications 1]

Heart Imaging

  • Segmentation: Fractional Brownian motion-based methods accurately segment the left ventricle in 3D echocardiography. [Publications 1 & 2]

Liver Imaging

  • Fractal Analysis: Nakagami-based fractal descriptors improve tissue heterogeneity characterization and therapy response prediction. [Publications 1, 2, 3 & 4]

Learning and Image Captioning

  • Self-Taught Learning: Semi-supervised methods identify learning styles, enabling personalized educational tools. [Publications 1 & 2]
  • Image Captioning: Transformer-based ensemble models achieve high-quality captions for datasets like Flickr8K and Flickr30K. [Publications 1, 2 & 3]

Security and Anomaly Detection

  • Deepfake Detection: Vision Transformers with knowledge distillation improve detection of facial manipulations in deepfake videos. [Publications 1]
  • Federated Learning: Secure frameworks enable collaboration for detecting cyber threats in imaging data. [Publications 1]
  • Anomaly Detection: Population-based algorithms identify anomalies in imaging and computer vision tasks. [Publications: 1, 2, 3]

Current and past members

PhD students

  • Fatima Haimour (Unsupervised Medical Image Translation for Lesion Semantic Segmentation) [Publications: 1, 2]
  • Abdullah Hyasat (Enhancing Diagnostic Accuracy by Using Transformers to Extract Medical Image Annotations from Histopathology Reports)

MSc students

  • Alaa AlZgoul (Facial Expression Manipulation Detection in Deepfake Videos through Knowledge Distillation of Vision Transformers)

Visiting researchers

  • Faraz Janan (Senior lecturer – Imperial College London, UK)
  • Daniella Crisan (Associate Professor – Romanian-American University, Romania)

Research assistants

  • Roua Al-Emaryeen [Publications: 1, 2, 3]
  • Sara Al-Nahhas [Publications: 1, 2, 3]

Past PG students

  • Israa Al Badarneh (Apr 2025, PhD thesis: An Attention-Based Transformer Model for Arabic Image Captioning) [Publications: 1, 2 & 3] – Now Assistant Professor at Al-Zaytoonah University.
  • Abdullah Zaqebah (May 2022, PhD thesis: An Enhanced Population-based Nature-inspired Technique for Anomaly Detection Applications) [Publications: 1, 2, 3] – Now Assistant Professor at Al-Ahliyya Amman University.
  • Alaa Abu Srhan (Dec 2021, PhD thesis: Generative Adversarial Networks Modelling with Transfer Learning for Medical Image Analysis) [Publications: 1, 2]  – Now lecturer at Hashemite University.
  • Waref Al Manaseer (Aug 2021, PhD thesis: Arabic language diacritization using restricted Boltzmann machine) [Publications: 1] – Now Assistant Professor at Applied Science Private University.
  • Ala Wrikat (Aug 2024, MSc thesis: Cross-Banks Horizontal Federated Learning Framework for Cyber Threat Intelligence) – Now at Central Bank of Jordan.
  • Haya Mustafa (Jun 2023, MSc thesis: A Lightweight Computational Neural Network Model for Detecting and Classifying Leukemia) – Now at Ministry of Higher Education and Scientific Research.
  • Mohammad Alqawasmi (Aug 2022, MSc thesis: Detecting Face Tampering in Videos using DeepFake Forensics) [Publications: 1] – Now developer at OPTIMIZA.
  • Eman Nasser (Aug 2021, MSc thesis: An optimised feature selection for fishing websites detection) – Now IT Manager at Dar-Alhai Business Group.
  • Feda Beqain (July 2020, MSc thesis: Histopathological web diagnosis system for prostate cancer) [Publications: 1] – Now developer at Ministry of Information and Communication Technology.
  • Mu’nis Qasaymeh (Dec 2020, MSc thesis: Breast cancer grading for unlabelled data using crowdscouring) – Now developer at Orange Jordan.
  • Hani Ayyoub (Dec 2020, MSc thesis: Personlaized learning style identification using data mining and machine intelligence) [Publications: 1] – Now senior programmer at e-learning unit at the University of Jordan.
  • Jamileh Azzam (Aug 2022, MSc thesis: A Multi-factor Authentication Framework for the Cloud)
  • Safaa Al-Haj Saleh (May 2013, MSc thesis: Histopathological prostate tissue gland segmentation for automated diagnosis) [Publications: 1, 2] – Lab Supervisor at Hashemite University.
  • Nada Misk (Dec 2014, MSc thesis: Automatic detection of unusual crowd behavior in real-time video surveillance systems) – PhD student at Istanbul University.

PhD/MSc Thesis Examination (Internal & External Examiner)

  • [PhD] “A Hybrid Approach for Breast Cancer Recurrence Prediction: A Case Study from KHCC/Jordan”, University of Jordan – KASIT, May 2024 | Katrina Sundus
  • [PhD] “An Enhanced Single-Shot Neural Network for Diagnosing Chest Diseases”, University of Jordan – KASIT,  Aug. 2023 | Mansour Alhelalat
  • [PhD] “Missing Data Handling using Evolutionary Algorithms in the Context of Supervised Learning”, University of Jordan – KASIT,  May 2022 | Shatha Awadeh
  • [PhD] “A New Hybrid Approach for Recognizing Faces Under Occlusions and Common Variations”, University of Jordan – KASIT, Aug. 2021 | Ahmad Doumi
  • [PhD] “Classification of Transformed and Geometrically Distorted Images Using CNN”, University of Jordan – KASIT, Apr. 2021 | Sanad Aburas
  • [MSc] “A Deep-Learning Framework for Estimating the Response of Vestibular Schwannoma and Meningioma Patients to Gamma Knife Radiosurgery Treatment”, Princess Sumaya University for Technology, Jun. 2025 | Tasneem Al-Hosanie
  • [MSc] “Particle Swarm Optimization Algorithm for Optimizing CNNs for Wastewater Classification”, Amman Arab University, Dec. 2024 | Mohammed Al-Ashoush
  • [MSc] “Text-Based Classification of IT Service Desk Tickets”, Princess Sumaya University for Technology, Aug. 2024 | Naheel Alkararha
  • [MSc] “Offline Signature Verification using Lightweight Deep Learning”, University of Jordan – KASIT, May 2024 | Fatima Al-Hadidi
  • [MSc] “Enhancing Pancreas Segmentation Accuracy with Mathitis U-Net and Morphological Operators”, Amman Arab University, Jun. 2023 | Ghana Al Hilo
  • [MSc] “Medical Diagnosis Prediction and Treatment Ranking Using Deep Learning and Learn to Rank”, Princess Sumaya University for Technology, Jan. 2023 | Maher Farouqa
  • [MSc] “Enhanced CNN Using Black Widow Optimization for Brain Tumor Detection”, Amman Arab University, Jan. 2023 | Farah Mahadeen
  • [MSc] “Cloud-Based Satellite Image Classification Using Hyped Fast Deep Neural Network”, Amman Arab University, Jan. 2023 | Sara Yassen
  • [MSc] “Cardiovascular Disease Prediction Using MLP with Arithmetic Optimization-Based Feature Selection”, Amman Arab University, Jun. 2022 | Hitham AlManaseer
  • [MSc] “Pseudo-Labeling Based Domain Adaptation for Personality Mining”, Princess Sumaya University for Technology, Jun. 2022 | Haya Salah
  • [MSc] “Predicting Student Academic Achievement Using Evolutionary Machine Learning Models”, University of Jordan – KASIT, May 2022 | Najeeb Haddad
  • [MSc] “COVID-19 Chest X-ray Segmentation Using Arithmetic Optimization for Multilevel Thresholding”, University of Jordan – KASIT, Sep. 2021 | Saif Jasim
  • [MSc] “Performance Evaluation and Optimization of BiLSTM for Arabic Language Applications”, University of Jordan – School of Engineering, Aug. 2021 | Abrar Samara
  • [MSc] “Automatic Diacritization of Arabic Text”, University of Jordan – School of Engineering, May 2015 | Alaa Arabiyat
  • [MSc] “Algorithm for mass detection in mammography based on local statistical texture model”, Universidad de los Andes, Colombia, May 2011 | Nicolas Gallego-Ortiz

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