Ibrahim Almakky

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Pulmonary Embolism

Medical Literature

Medical Image Analysis

Top Venues

Publications

Mohammad Areeb Qazi, Ibrahim Almakky, Anees Ur Rehman Hashmi, Santosh Sanjeev, Mohammad Yaqub
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. CoRR (2024)
Santosh Sanjeev, Nuren Zhaksylyk, Ibrahim Almakky, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi, Mohammad Yaqub
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis. CoRR (2024)
Mohammad Areeb Qazi, Ibrahim Almakky, Anees Ur Rehman Hashmi, Santosh Sanjeev, Mohammad Yaqub
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. MIUA (1) (2024)
Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartlomiej W. Papiez, Mohammad Yaqub
TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation. CoRR (2024)
Ibrahim Almakky, Santosh Sanjeev, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi, Mohammad Yaqub
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks. CoRR (2024)
Anees Ur Rehman Hashmi, Ibrahim Almakky, Mohammad Areeb Qazi, Santosh Sanjeev, Vijay Ram Papineni, Dwarikanath Mahapatra, Mohammad Yaqub
XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model. CoRR (2024)
Mohammad Areeb Qazi, Anees Ur Rehman Hashmi, Santosh Sanjeev, Ibrahim Almakky, Numan Saeed, Mohammad Yaqub
Continual Learning in Medical Imaging from Theory to Practice: A Survey and Practical Analysis. CoRR (2024)
Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. MIDL (2023)
Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. MLMI@MICCAI (1) (2023)
Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. CoRR (2023)
Massa Baali, Ibrahim Almakky, Shady Shehata, Fakhri Karray
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation. CoRR (2023)
Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. CoRR (2023)
Massa Baali, Ibrahim Almakky, Shady Shehata, Fakhri Karray
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation. INTERSPEECH (2023)
Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. MICCAI (2) (2023)
Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. IJCB (2023)
Mohammad Areeb Qazi, Mohammed Talha Alam, Ibrahim Almakky, Werner Gerhard Diehl, Leanne Bricker, Mohammad Yaqub
Multi-Task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans. CoRR (2023)
Raza Imam, Ibrahim Almakky, Salma Alrashdi, Baketah Alrashdi, Mohammad Yaqub
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification. CoRR (2023)
Raza Imam, Ibrahim Almakky, Salma Alrashdi, Baketah Alrashdi, Mohammad Yaqub
SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification. DART@MICCAI (2023)
Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. CoRR (2023)
Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. CoRR (2023)
Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub
Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays. MIUA (2022)
Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarette, Ibrahim Almakky, Mohammad Yaqub
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches? CoRR (2022)
Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade, Luke Hicks
Generative Adversarial Stacked Autoencoders. CoRR (2020)
Luke Hicks, Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky
Self-Supervised Transformers for Activity Classification using Ambient Sensors. CoRR (2020)
Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw
Deep Q-Learning for Illumination and Rotation Invariant Face Detection. IJCNN (2019)
Ibrahim Almakky, Vasile Palade, Ariel Ruiz-Garcia
Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature. IJCNN (2019)
Sarni Suhaila Rahim, Vasile Palade, Ibrahim Almakky, Andreas Holzinger
Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation. CD-MAKE (2019)
Ibrahim Almakky, Vasile Palade, Yih-Ling Hedley, Jianhua Yang
A stacked deep autoencoder model for biomedical figure classification. ISBI (2018)
Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Ibrahim Almakky
Deep Learning for Illumination Invariant Facial Expression Recognition. IJCNN (2018)