• Classification of MGMT Promoter status

• Deep Learning-Based Prediction of SARS-CoV-2 (COVID-19) and its Severity Cl 

• Image Segmentation Method for Brain Tumor Detection using MRI Imaging 

• Prediction of COVID vs. Non-COVID Lungs Infections through Multimodal CRIs

• Brain Tumor Segmentation from Multimodal MRI Images

• Automated Detection and Classification of Brain Tumor from MRI Images using Machine Learning Methods

• Image Segmentation Method for Brain Tumor Detection using MRI

• Super-Resolution Based Image Enhancement of Biomedical Images

• A CADe System for Fast and Accurate Malignant Lung Nodule Detection

• Automated Detection of Early Pulmonary Nodule in Computed Tomography Images

• Automatic Brain Tumor Segmentation in Magnetic Resonance Images through Region Based Approach

• Skin Disease Classification

• CAD Application for Brain Tumor Detection Using Image Segmentation

• Derma Diagnosis

• Breast Cancer detection using image processing 

Colorization of Greyscale MR Images (Deployed at Bahawal Victoria Hospital, Bahawalpur)

• Framework for Brain Tumor Diagnosis (Type Classification, Grade Classification, Segmentation) and Prognosis (Survival Prediction)

• Domain Adaptation and zero shot learning for medical image segmentation

• transfer learning techniques for medical images  

• Liver Tumor Segmentation Using U-Net and its variants with Attention Mechan 

• Breast Cancer Detection Using Deep CNN Based Networks

1. Diagnosis of Dementia through Biomedical Images

2. Resource and Data-Efficient for Better Transfer Performance from Generic Dataset Pre-Training

3. Use of 2D Images/Slices Pre-Training on 3D Medical Data

• Dr. Usama Ijaz Bajwa (Associate Professor, Dept. of Computer Science, CUI Lahore Campus)

• Dr. Ghulam Gilanie (Assistant Professor, Dept. of Computer Science, Islamia University Bahawalpur)

• Yasar Mehmood (PhD Student, CUI Lahore Campus)

• Dr Ghulam Gilanie

• Dr Khurram Ejaz

• Salahuddin Ayubi

• Abdullah Ali Shah

• Ahmad Usama

• Javaid Iqbal

• Sardar Alam 

• Hassan Khan 

• Muhammad Arslan 

• Sundas Saif 

• Maham Nasir 

• Abeera Alvi 

• Amna Hashmat

• Bushra Ishfaq 

• Suman Khalid

• Mughees Ahmad

• Rehan Raza

• Muhammad Sohaib Iqbal 

• Raza, R., Bajwa, U. I., Mehmood, Y., Anwar, M. W., & Jamal, M. H. (2022). dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI. Biomedical Signal Processing and Control, 103861. (IF = 5.076)

• Ghulam Gilanie, Usama Ijaz Bajwa*, Mustansar Waraich, Mutyyba Asghar, Rehana Kousar, Adnan Kashif, Rabab Aslam, Muhammad Qasim, Hamza Rafique (2021), “Coronavirus (COVID-19) Detection from Chest Radiology Images using Convolutional Neural Networks”, Biomedical Signal Processing and Control, Volume 66, (Published Online) (IF = 3.137)

• Ghulam Gilanie, Usama Ijaz Bajwa*, Mustansar Mahmood Waraich, Muhammad Waqas Anwar (2021), “Riskfree WHO grading of Astrocytoma using Convolutional Neural Networks from MRI Images”, Multimedia Tools and Applications, Vol. 80, Issue: 3, pp. 4295-4306 (IF = 2.313)

• Khurram Ejaz, Mohd Shafry Mohd Rahim, Usama Ijaz Bajwa, Huma Chaudhry, Amjad Rehman, Farhan Ejaz (2021), “Hybrid Segmentation Method with Confidence Region Detection for Tumor Identification”, IEEE Access, (Accepted) (IF = 3.745)

• Ghulam Gilanie, Usama Ijaz Bajwa*, Mustansar Mahmood Waraich, Zulfiqar Habib (2019), “Automated and Reliable Brain Radiology with Texture Analysis of MRI and Cross Dataset Validation”, International Journal of Imaging Systems and Technology, Volume 29, pp. 531-538 (IF = 1.423)

• Ghulam Gilanie, Usama Ijaz Bajwa*, Mustansar Mahmood Waraich, Zulfiqar Habib (2019), “Computer Aided Diagnosis of Brain Abnormalities Using Texture Analysis of MRI Images”, International Journal of Imaging Systems and Technology, Volume 29, Issue 3, pp. 260-271 (IF = 1.423)

• S Alam, U I Bajwa*, N Haq, N I Ratyal, M W Anwar (2019), “Skin Disease Classification using Neural Network”, Current Medical Imaging (Accepted) (IF = 0.533)

• U I Bajwa*, A A Shah, M W Anwar, G Gilanie, A E Bajwa (2018), “Computer-Aided Detection (CADe) System for Detection of Malignant Lung Nodules in CT Slices – A key for Early Lung Cancer Detection”, Current Medical Imaging Reviews, Volume 14, No. 3, 422 - 429(8), 2018 (IF = 0.613)

• G Gilanie, H Ullah, M Mehmood, U I Bajwa*, Z Habib (2018), “Colored Representation of Brain Gray Scale MRI Images to potentially underscore the variability and sensitivity of images”, Current Medical Imaging Reviews, Volume 14, No. 4, 555 - 560, 2018 (IF = 0.613)

• G Gilanie, U I Bajwa*, M M Waraich, Z H, H Ullah, M Nasir (2018), “Classification of normal and abnormal brain MRI slices using Gabor texture and support vector machines”, Signal Image and Video Processing, 12(3), 2018, 479-487 (IF = 1.102)

• S Ayubi, U I Bajwa*, M W Anwar (2015), “Super-Resolution Based Enhancement of Cardiac MR Images”, Current Medical Imaging 11(2), 105-113. (IF = 1.059)

• U.Bajwa*, R.Vardasca, F Ring, P Plassmann “A comparison of Boundary Detection Techniques to Improve Image Analysis in Medical Thermography”, The Imaging Science Journal, Volume 58, Number 1, February 2010, pages 12-19. (IF = 0.575)

• Vardasca R., Bajwa U., "Segmentation and Noise Removal on Thermographic Images of Hands", Thermology International, vol 18, no.2, 2008, p.99-104.

• Khurram Ejaz, Mohd Shafy Mohd Rahim, Usama Ijaz Bajwa, Nadim Rana and Amjad Rehman, “An Unsupervised Learning with Feature Approach for Brain Tumor Identification and Segmentation Using Magnetic Resonance Imaging”, in Proceedings of 9th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2019), Singapore

• R. Vardasca, U.Bajwa, "Extracting outlines of Hands from Thermal Images", Proceedings of the 2nd Research Student Workshop, University of Glamorgan Business Centre. P.12-16, 1 November 2007, ISBN 978-1-84054-179-3

• E.F.J. Ring, A.Jung, J.Zuber, P.Rutowski, B.Kalicki, U.Bajwa, "Detecting Fever in Polish Children by Infrared Thermography", Proceedings of 9th International conference on Quantitative InfraRed Thermography, July 2-5, 2008, Krakow-Poland, p125-128.

• E.F.J. Ring, R. Vardasca, U.Bajwa, "Monitoring Cooling Agents Applied to the skin of Normal Subjects by Quantitative Thermal Imaging", Proceedings of 9th International conference on Quantitative InfraRed Thermography, July 2-5, 2008, Krakow-Poland, p129-134

• Research work “The Cyber Imago” by Doug Hampson & Usama Ijaz Bajwa, presented at Institute of Developmental Transactional Analysis (IDTA) conference 9th/10th November 2007, Glasgow, UK.

Ring EFJ, Jones CD, Ammer K, Plassmann P, Vardasca R, Bajwa UI (2017), “Cooling agents’ effect monitoring when applied to skin of healthy human subjects”, Innovative Research in Thermal Imaging for Biology and Medicine, Ricardo Vardasca, Joaquim Gabriel (Eds.), IGI-Global, USA 2017, 79-92. ISBN: 978-152-252-072-6. Chapter 4. (DOI: 10.4018/978-1-5225-2072-6.ch004).