Ibrahim Almakky

According to our database, Ibrahim Almakky authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

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

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

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

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

FUSQA: Fetal Ultrasound Segmentation Quality Assessment.

Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub

Proceedings of the Medical Imaging with Deep Learning, 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

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling.

Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2023

Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation.

Massa Baali, Ibrahim Almakky, Shady Shehata, Fakhri Karray

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

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

Proceedings of the IEEE International Joint Conference on Biometrics, 2023

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

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

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

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

Generative Adversarial Stacked Autoencoders.

Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade, Luke Hicks

CoRR, 2020

Self-Supervised Transformers for Activity Classification using Ambient Sensors.

Luke Hicks, Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky

CoRR, 2020

2019

Deep Q-Learning for Illumination and Rotation Invariant Face Detection.

Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature.

Ibrahim Almakky, Vasile Palade, Ariel Ruiz-Garcia

Proceedings of the International Joint Conference on Neural Networks, 2019

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

Proceedings of the Machine Learning and Knowledge Extraction, 2019

2018

A stacked deep autoencoder model for biomedical figure classification.

Ibrahim Almakky, Vasile Palade, Yih-Ling Hedley, Jianhua Yang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep Learning for Illumination Invariant Facial Expression Recognition.

Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Ibrahim Almakky

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018