Deep Learning for Illumination Invariant Facial Expression Recognition. - Ariel Ruiz-Garcia; Vasile Palade; Mark Elshaw; Ibrahim Almakky (IJCNN, 2018)

A stacked deep autoencoder model for biomedical figure classification. - Ibrahim Almakky; Vasile Palade; Yih-Ling Hedley; Jianhua Yang (ISBI, 2018)

Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation. - Sarni Suhaila Rahim; Vasile Palade; Ibrahim Almakky; Andreas Holzinger (CD-MAKE, 2019)

Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature. - Ibrahim Almakky; Vasile Palade; Ariel Ruiz-Garcia (IJCNN, 2019)

Deep Q-Learning for Illumination and Rotation Invariant Face Detection. - Ariel Ruiz-Garcia; Vasile Palade; Ibrahim Almakky; Mark Elshaw (IJCNN, 2019)

Self-Supervised Transformers for Activity Classification using Ambient Sensors. - Luke Hicks; Ariel Ruiz-Garcia; Vasile Palade; Ibrahim Almakky (CoRR, 2020)

Generative Adversarial Stacked Autoencoders. - Ariel Ruiz-Garcia; Ibrahim Almakky; Vasile Palade; Luke Hicks (CoRR, 2020)

Fuzzy Image Processing and Deep Learning for Microaneurysms Detection. - Sarni Suhaila Rahim; Vasile Palade; Ibrahim Almakky; Andreas Holzinger (AI and ML for Digital Pathology, 2020)

Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays. - Muhammad Ridzuan; Ameera Ali Bawazir; Ivo Gollini Navarrete; Ibrahim Almakky; Mohammad Yaqub (MIUA, 2022)

Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches? - Muhammad Ridzuan; Ameera Ali Bawazir; Ivo Gollini Navarette; Ibrahim Almakky; Mohammad Yaqub (CoRR, 2022)

FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. - Naif Alkhunaizi; Koushik Srivatsan; Faris Almalik; Ibrahim Almakky; Karthik Nandakumar (IJCB, 2023)

Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation. - Massa Baali; Ibrahim Almakky; Shady Shehata; Fakhri Karray (INTERSPEECH, 2023)

Multi-task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans. - Mohammad Areeb Qazi; Mohammed Talha Alam; Ibrahim Almakky; Werner Gerhard Diehl; Leanne Bricker; Mohammad Yaqub (MICAD, 2023)

FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. - Faris Almalik; Naif Alkhunaizi; Ibrahim Almakky; Karthik Nandakumar (MICCAI (2), 2023)

SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification. - Raza Imam; Ibrahim Almakky; Salma Alrashdi; Baketah Alrashdi; Mohammad Yaqub (DART@MICCAI, 2023)

FUSQA: Fetal Ultrasound Segmentation Quality Assessment. - Sevim Cengiz; Ibrahim Almakky; Mohammad Yaqub (MIDL, 2023)

PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. - Santosh Sanjeev; Salwa K. Al Khatib; Mai A. Shaaban; Ibrahim Almakky; Vijay Ram Papineni; Mohammad Yaqub (MLMI@MICCAI (1), 2023)

TiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation. - Santosh Sanjeev; Fadillah Adamsyah Maani; Arsen Abzhanov; Vijay Ram Papineni; Ibrahim Almakky; Bartlomiej W. Papiez; Mohammad Yaqub (DGM4MICCAI@MICCAI, 2024)

FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis. - Santosh Sanjeev; Nuren Zhaksylyk; Ibrahim Almakky; Anees Ur Rehman Hashmi; Mohammad Areeb Qazi; Mohammad Yaqub (MICCAI (12), 2024)

DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. - Mohammad Areeb Qazi; Ibrahim Almakky; Anees Ur Rehman Hashmi; Santosh Sanjeev; Mohammad Yaqub (MIUA (1), 2024)

XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model. - Anees Ur Rehman Hashmi; Ibrahim Almakky; Mohammad Areeb Qazi; Santosh Sanjeev; Vijay Ram Papineni; Dwarikanath Mahapatra; Mohammad Yaqub (CoRR, 2024)

MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks. - Ibrahim Almakky; Santosh Sanjeev; Anees Ur Rehman Hashmi; Mohammad Areeb Qazi; Mohammad Yaqub (CoRR, 2024)

Continual Learning in Medical Imaging from Theory to Practice: A Survey and Practical Analysis. - Mohammad Areeb Qazi; Anees Ur Rehman Hashmi; Santosh Sanjeev; Ibrahim Almakky; Numan Saeed; Mohammad Yaqub (CoRR, 2024)

Rethinking Weight-Averaged Model-merging. - Hu Wang 005; Congbo Ma; Ibrahim Almakky; Ian Reid 001; Gustavo Carneiro 001; Mohammad Yaqub (CoRR, 2024)

In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models. - Hu Wang 005; Ibrahim Almakky; Congbo Ma; Numan Saeed; Mohammad Yaqub (CoRR, 2025)

SALT: Singular Value Adaptation with Low-Rank Transformation. - Abdelrahman Elsayed; Sarim Hashmi; Mohammed Elseiagy; Hu Wang 005; Mohammad Yaqub; Ibrahim Almakky (CoRR, 2025)

RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation. - Nuren Zhaksylyk; Ibrahim Almakky; Jay N. Paranjape; S. Swaroop Vedula; Shameema Sikder; Vishal M. Patel; Mohammad Yaqub (CoRR, 2025)

MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search. - Lotfi Abdelkrim Mecharbat; Ibrahim Almakky; Martin Takác 001; Mohammad Yaqub (CoRR, 2025)