Mobarakol Islam
Orcid: 0000-0002-7162-2822
According to our database1,
Mobarakol Islam
authored at least 59 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery.
CoRR, 2024
EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery.
CoRR, 2024
2023
Paced-curriculum distillation with prediction and label uncertainty for image segmentation.
Int. J. Comput. Assist. Radiol. Surg., October, 2023
Medical Image Anal., May, 2023
Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding.
Int. J. Comput. Assist. Radiol. Surg., May, 2023
CoRR, 2023
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation.
CoRR, 2023
Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery.
CoRR, 2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.
CoRR, 2023
S<sup>2</sup>ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
CAT-ViL: Co-attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis.
IROS, 2023
Surgical-VQLA:Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks.
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
Identifying risk factors of intracerebral hemorrhage stability using explainable attention model.
Medical Biol. Eng. Comput., 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding.
CoRR, 2022
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts.
CoRR, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery.
Medical Image Anal., 2021
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction.
Comput. Medical Imaging Graph., 2021
IEEE Access, 2021
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Medical Biol. Eng. Comput., 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Radiogenomics of Glioblastoma: Identification of Radiomics Associated with Molecular Subtypes.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Real-Time Instrument Segmentation in Robotic Surgery Using Auxiliary Supervised Deep Adversarial Learning.
IEEE Robotics Autom. Lett., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Finger Movement Classification from Myoelectric Signals Using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Glioma Prognosis: Segmentation of the Tumor and Survival Prediction Using Shape, Geometric and Clinical Information.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
2011
An Efficient Neural Network Training Algorithm with Maximized Gradient Function and Modulated Chaos.
Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011
2001
A new weight freezing method for reducing training time in designing artificial neural networks.
Proceedings of the IEEE International Conference on Systems, 2001