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2020 – today
- 2024
[c15]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. MICCAI (12) 2024: 131-141- [c14]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. DGM4MICCAI@MICCAI 2024: 169-179 - [c13]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: 245-257 - [i16]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 abs/2403.09240 (2024) - [i15]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 abs/2403.11646 (2024) - [i14]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 abs/2403.13341 (2024) - [i13]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 abs/2403.13343 (2024) - [i12]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 abs/2404.14099 (2024) - [i11]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 abs/2405.13482 (2024) - 2023
- [c12]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: 1-11 - [c11]Massa Baali, Ibrahim Almakky, Shady Shehata, Fakhri Karray:
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation. INTERSPEECH 2023: 1558-1562 - [c10]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: 126-135 - [c9]Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar:
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. MICCAI (2) 2023: 350-360 - [c8]Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub:
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. MIDL 2023: 1666-1679 - [c7]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: 434-443 - [i10]Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub:
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. CoRR abs/2303.04418 (2023) - [i9]Massa Baali, Ibrahim Almakky, Shady Shehata, Fakhri Karray:
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation. CoRR abs/2306.04368 (2023) - [i8]Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar:
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. CoRR abs/2306.14638 (2023) - [i7]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 abs/2308.07874 (2023) - [i6]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 abs/2308.10236 (2023) - [i5]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 abs/2308.14050 (2023) - [i4]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 abs/2311.09607 (2023) - 2022
- [c6]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: 234-250 - [i3]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 abs/2201.06052 (2022) - 2020
- [p1]Sarni Suhaila Rahim, Vasile Palade, Ibrahim Almakky, Andreas Holzinger:
Fuzzy Image Processing and Deep Learning for Microaneurysms Detection. AI and ML for Digital Pathology 2020: 321-339 - [i2]Luke Hicks, Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky:
Self-Supervised Transformers for Activity Classification using Ambient Sensors. CoRR abs/2011.12137 (2020) - [i1]Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade, Luke Hicks:
Generative Adversarial Stacked Autoencoders. CoRR abs/2011.12236 (2020)
2010 – 2019
- 2019
- [c5]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: 114-127 - [c4]Ibrahim Almakky, Vasile Palade, Ariel Ruiz-Garcia:
Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature. IJCNN 2019: 1-5 - [c3]Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw:
Deep Q-Learning for Illumination and Rotation Invariant Face Detection. IJCNN 2019: 1-8 - 2018
- [c2]Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Ibrahim Almakky:
Deep Learning for Illumination Invariant Facial Expression Recognition. IJCNN 2018: 1-6 - [c1]Ibrahim Almakky, Vasile Palade, Yih-Ling Hedley, Jianhua Yang:
A stacked deep autoencoder model for biomedical figure classification. ISBI 2018: 1134-1138
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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