research
∙
09/02/2023
Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level
Surgical robotics is a rapidly evolving field that is transforming the l...
share
research
∙
08/27/2023
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay
Endoscopy is a widely used technique for the early detection of diseases...
research
∙
08/05/2023
Semi-supervised Learning for Segmentation of Bleeding Regions in Video Capsule Endoscopy
In the realm of modern diagnostic technology, video capsule endoscopy (V...
research
∙
08/05/2023
Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation
Robot-assisted airway intubation application needs high accuracy in loca...
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...
research
∙
07/12/2023
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation
Noisy label problems are inevitably in existence within medical image se...
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...
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...
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...
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...
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...
research
∙
05/19/2023
Sim-to-Real Segmentation in Robot-assisted Transoral Tracheal Intubation
Robotic-assisted tracheal intubation requires the robot to distinguish a...
research
∙
05/18/2023
Deep Reinforcement Learning-Based Control for Stomach Coverage Scanning of Wireless Capsule Endoscopy
Due to its non-invasive and painless characteristics, wireless capsule e...
research
∙
05/18/2023
Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs
Video-assisted transoral tracheal intubation (TI) necessitates using an ...
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...
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...
research
∙
02/24/2023
Bioinspired soft robotics: How do we learn from creatures?
Soft robotics has opened a unique path to flexibility and environmental ...
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 ...
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 ...
research
∙
12/15/2022
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images
Accurate airway extraction from computed tomography (CT) images is a cri...
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...
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...
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...
research
∙
06/22/2022
Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
Visual question answering (VQA) in surgery is largely unexplored. Expert...
research
∙
04/23/2022
Class Balanced PixelNet for Neurological Image Segmentation
In this paper, we propose an automatic brain tumor segmentation approach...
research
∙
04/11/2022
Ischemic Stroke Lesion Segmentation Using Adversarial Learning
Ischemic stroke occurs through a blockage of clogged blood vessels suppl...
research
∙
04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
research
∙
01/28/2022
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
Global and local relational reasoning enable scene understanding models ...
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...
research
∙
11/05/2021
RASEC: Rescaling Acquisition Strategy with Energy Constraints under SE-OU Fusion Kernel for Active Trachea Palpation and Incision Recommendation in Laryngeal Region
A novel palpation-based incision detection strategy in the laryngeal reg...
research
∙
09/11/2021
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
Despite impressive accuracy, deep neural networks are often miscalibrate...
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...
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)...
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...
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...
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 ...
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...
research
∙
07/07/2020
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
Learning to infer graph representations and performing spatial reasoning...
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 ...
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...
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...
research
∙
05/17/2018