Mobarakol Islam

research

∙ 08/14/2023

Robustness Stress Testing in Medical Image Classification

Deep neural networks have shown impressive performance for image-based d...

0 Mobarakol Islam, et al. ∙

research

∙ 08/05/2023

Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation

Robot-assisted airway intubation application needs high accuracy in loca...

0 Tianhang Liu, et al. ∙

research

∙ 07/22/2023

Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery

The visual-question localized-answering (VQLA) system can serve as a kno...

0 Long Bai, et al. ∙

research

∙ 07/11/2023

CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

Medical students and junior surgeons often rely on senior surgeons and s...

0 Long Bai, et al. ∙

research

∙ 07/05/2023

LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion

Wireless capsule endoscopy (WCE) is a painless and non-invasive diagnost...

0 Long Bai, et al. ∙

research

∙ 06/28/2023

Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis

Despite their impressive performance in various surgical scene understan...

0 An Wang, et al. ∙

research

∙ 06/06/2023

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation

Accurate and robust medical image segmentation is fundamental and crucia...

0 An Wang, et al. ∙

research

∙ 05/19/2023

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

Despite the availability of computer-aided simulators and recorded video...

0 Long Bai, et al. ∙

research

∙ 05/11/2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

The ability to automatically detect and track surgical instruments in en...

17 Aneeq Zia, et al. ∙

research

∙ 04/19/2023

SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery

Advances in GPT-based large language models (LLMs) are revolutionizing n...

0 Lalithkumar Seenivasan, et al. ∙

research

∙ 02/02/2023

Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation

Purpose: In curriculum learning, the idea is to train on easier samples ...

0 Mobarakol Islam, et al. ∙

research

∙ 12/22/2022

Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding

Curriculum learning and self-paced learning are the training strategies ...

0 Mengya Xu, et al. ∙

research

∙ 11/28/2022

Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding

Purpose: Surgery scene understanding with tool-tissue interaction recogn...

0 Lalithkumar Seenivasan, et al. ∙

research

∙ 10/26/2022

Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts

Inductive knowledge graph completion requires models to comprehend the u...

0 Bohua Peng, et al. ∙

research

∙ 09/20/2022

Frequency Dropout: Feature-Level Regularization via Randomized Filtering

Deep convolutional neural networks have shown remarkable performance on ...

16 Mobarakol Islam, et al. ∙

research

∙ 07/18/2022

Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration

Curriculum learning needs example difficulty to proceed from easy to har...

0 Bohua Peng, et al. ∙

research

∙ 06/30/2022

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Surgical captioning plays an important role in surgical instruction pred...

0 Mengya Xu, et al. ∙

research

∙ 06/23/2022

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Data diversity and volume are crucial to the success of training deep le...

0 An Wang, et al. ∙

research

∙ 06/22/2022

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Visual question answering (VQA) in surgery is largely unexplored. Expert...

0 Lalithkumar Seenivasan, et al. ∙

research

∙ 04/23/2022

Class Balanced PixelNet for Neurological Image Segmentation

In this paper, we propose an automatic brain tumor segmentation approach...

0 Mobarakol Islam, et al. ∙

research

∙ 04/11/2022

Ischemic Stroke Lesion Segmentation Using Adversarial Learning

Ischemic stroke occurs through a blockage of clogged blood vessels suppl...

0 Mobarakol Islam, et al. ∙

research

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

research

∙ 01/28/2022

Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding

Global and local relational reasoning enable scene understanding models ...

0 Lalithkumar Seenivasan, et al. ∙

research

∙ 12/10/2021

ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery

Representation learning of the task-oriented attention while tracking in...

17 Mobarakol Islam, et al. ∙

research

∙ 09/11/2021

Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition

Despite impressive accuracy, deep neural networks are often miscalibrate...

4 Mobarakol Islam, et al. ∙

research

∙ 07/23/2021

Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation

Generating surgical reports aimed at surgical scene understanding in rob...

0 Mengya Xu, et al. ∙

research

∙ 04/12/2021

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations

The task of image segmentation is inherently noisy due to ambiguities re...

4 Mobarakol Islam, et al. ∙

research

∙ 04/02/2021

Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet

In this work, we develop an attention convolutional neural network (CNN)...

0 Mobarakol Islam, et al. ∙

research

∙ 04/02/2021

Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information

Segmentation of brain tumor from magnetic resonance imaging (MRI) is a v...

16 Mobarakol Islam, et al. ∙

research

∙ 03/31/2021

Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery

Generating a surgical report in robot-assisted surgery, in the form of n...

0 Mengya Xu, et al. ∙

research

∙ 10/27/2020

Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes

Glioblastoma is the most malignant type of central nervous system tumor ...

0 Navodini Wijethilake, et al. ∙

research

∙ 07/22/2020

Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning

Robot-assisted surgery is an emerging technology which has undergone rap...

0 Mobarakol Islam, et al. ∙

research

∙ 07/07/2020

Learning and Reasoning with the Graph Structure Representation in Robotic Surgery

Learning to infer graph representations and performing spatial reasoning...

0 Mobarakol Islam, et al. ∙

research

∙ 03/10/2020

AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery

Surgical scene understanding and multi-tasking learning are crucial for ...

0 Mobarakol Islam, et al. ∙

research

∙ 06/29/2019

Learning Where to Look While Tracking Instruments in Robot-assisted Surgery

Directing of the task-specific attention while tracking instrument in su...

4 Mobarakol Islam, et al. ∙

research

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

Mobarakol Islam

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