Research area 02

Medical AI

Deep learning for medical images and physiological signals, built to support clinicians rather than replace them.

Scope

Classification and detection in medical images (histopathology, ultrasound, MRI, CT, retinal and skin images) and in physiological signals such as ECG and EEG. Every model is evaluated with explanations a clinician can check.

Our approach

[PLACEHOLDER: how Applied Perception approaches medical AI, and two or three open questions, written by Dr. Al Farid]

Publications

Journal article

A blockchain-based hybrid framework for secure and scalable electronic health record management in in-patient follow-up tracking

Ahsan Habib Siam, Md. Ehsanul Haque, Fahmid Al Farid, Anindita Sutradhar, Jia Uddin, Sarina Mansor

Computers, Materials & Continua, 2026

DOI

Journal article

Collaborative advancement of Cloud-Edge-Fog computing in smart healthcare: concepts, recent advances, applications and future opportunities

Anichur Rahman, Dipanjali Kundu, Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Kowsar Ahmed, Md Ahsan Karim, MD. Zunead Abedin Eidmum, Fahmid Al Farid, Hezerul Abdul Karim, Abu Saleh Musa Miah

Cluster Computing, 2026

DOI

Journal article

Gene expression and metadata based identification of key genes for lung cancer, COPD, and IPF using machine learning and statistical models

Mst. Farjana Yasmin, Md. Faruk Hosen, Md. Abul Basar, Anichur Rahman, Mahedi Hasan, Fahmid Al Farid, Hezerul Abdul Karim, Abu Saleh Musa Miah

PLOS One, 2026

DOI

Journal article

Hilbert-domain sub-band feature framework for EEG-based seizure detection

Abdullah Al Shiam, Fahmid Al Farid, Abu Saleh Musa Miah, Md. Humaun Kabir, Hezerul Abdul Karim

Frontiers in Computational Neuroscience, 2026

DOI

Journal article

MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images

Md Mehedi Hasan Santo, Fuyad Hasan Bhoyan, Fuad Ibne Jashim Farhad, Fahmid Al Farid, Sovon Chakraborty, Md Humaion Kabir Mehedi, Jia Uddin, Hezerul bin Abdul Karim

PLOS One, 2026

DOI

Journal article

Privacy-aware diabetic retinopathy grading and visual lesion-focused interpretability through mixture-of-experts federated deep learning with explainable AI

Md. Tanjum An Tashrif, Dipanjali Kundu, Mst. Moriom Akter Bithee, Anichur Rahman, Fahmid Al Farid, Hezerul Abdul Karim, Abu Saleh Musa Miah

Scientific Reports, 2026

DOI

Journal article

Social media-based machine learning method for predicting symptoms in people with post-traumatic stress disorder with cancer

Sazia Sharmin, Md. Suhag Ali, Nusrat Jahan, Md. Rakibuzzaman Khan Pathan, Anichur Rahman, Fahmid Al Farid, Hezerul Abdul Karim, Abu Saleh Musa Miah

Discover Artificial Intelligence, 2026

DOI

Journal article

A hybrid CNN framework DLI-net for acne detection with XAI

Shaila Sharmin, Fahmid Al Farid, Md. Jihad, Shakila Rahman, Jia Uddin, Rayhan Kabir Rafi, Radia Hossan, Hezerul Abdul Karim

Journal of Imaging, 2025

DOI

Journal article

A lightweight CNN for multiclass retinal disease screening with explainable AI

Arjun Kumar Bose Arnob, Muhammad Hasibur Rashid Chayon, Fahmid Al Farid, Mohd Nizam Husen, Firoz Ahmed

Journal of Imaging, 2025

DOI

Journal article

A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and gan-based optimization

Md. Ehsanul Haque, Md. Nurul Absur, Fahmid Al Farid, Jia Uddin, Hezerul Abdul Karim

Frontiers in Artificial Intelligence, 2025

DOI

Preprint

An efficient deep learning framework for brain stroke diagnosis using computed tomography images

MS Hossen, EA Shuvo, SA Arif, P Shaha, A Rahman, M Saiduzzaman, ...

arXiv preprint arXiv:2507.03558, 2025

Paper

Journal article

An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images

Md. Romzan Alom, Fahmid Al Farid, Muhammad Aminur Rahaman, Anichur Rahman, Tanoy Debnath, Abu Saleh Musa Miah, Sarina Mansor

Scientific Reports, 2025

DOI

Preprint

Brain Tumor Classification from MRI Scans via Transfer Learning and Enhanced Feature Representation

ASH Emran, H Akter, AA Shiam, ASM Miah, A Rahman, FA Farid, ...

arXiv preprint arXiv:2509.22956, 2025

Paper

Journal article

SCCM: An Interpretable Enhanced Transfer Learning Model for Improved Skin Cancer Classification

Md. Rifat Aknda, Fahmid Al Farid, Jia Uddin, Sarina Mansor, Muhammad Golam Kibria

BioMedInformatics, 2025

DOI

Book chapter

SkinPalNet: An Advanced Ensemble Model for Skin Cancer Diagnosis with Computer Vision Approach

Osim Kumar Pal, Fahmid Al Farid, M. F. Mridha, Raihan Kabir, Md Rashedul Islam, Hezerul Abdul Karim

Lecture Notes in Computer Science, 2025

DOI

Journal article

Ultra-lightweight uncertainty-aware ensemble for large-scale multi-class medical MRI diagnosis

Sowad Rahman, Fahmid Al Farid, Mahe Zabin, Jia Uddin, Hezerul Abdul Karim

Frontiers in Radiology, 2025

DOI

Journal article

Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review

Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

PeerJ Computer Science, 2024

DOI

Conference paper

Continuous health monitoring for early stroke prediction at home

Aryan Kumar Singh, Ramandeep Sandhu, Anisha Joshi, Kanupriya, Aditya Partap Singh, Mona Rai

2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT), 2024

DOI

Journal article

Eye disease detection enhancement using a multi-stage deep learning approach

Md. Zahin Muntaqim, Tangin Amir Smrity, Abu Saleh Musa Miah, Hasan Muhammad Kafi, Taosin Tamanna, Fahmid Al Farid, Md Abdur Rahim, Hezerul Abdul Karim, Sarina Mansor

IEEE Access, 2024

DOI

Preprint