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08/14/2023
Robustness Stress Testing in Medical Image Classification
Deep neural networks have shown impressive performance for image-based d...
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08/05/2023
Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation
Robot-assisted airway intubation application needs high accuracy in loca...
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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...
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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...
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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...
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06/28/2023
Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis
Despite their impressive performance in various surgical scene understan...
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06/06/2023
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation
Accurate and robust medical image segmentation is fundamental and crucia...
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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...
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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...
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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...
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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 ...
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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 ...
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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...
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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...
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09/20/2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Deep convolutional neural networks have shown remarkable performance on ...
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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...
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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...
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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...
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06/22/2022
Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
Visual question answering (VQA) in surgery is largely unexplored. Expert...
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04/23/2022
Class Balanced PixelNet for Neurological Image Segmentation
In this paper, we propose an automatic brain tumor segmentation approach...
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04/11/2022
Ischemic Stroke Lesion Segmentation Using Adversarial Learning
Ischemic stroke occurs through a blockage of clogged blood vessels suppl...
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04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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01/28/2022
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
Global and local relational reasoning enable scene understanding models ...
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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...
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09/11/2021
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
Despite impressive accuracy, deep neural networks are often miscalibrate...
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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...
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04/12/2021
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations
The task of image segmentation is inherently noisy due to ambiguities re...
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04/02/2021
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
In this work, we develop an attention convolutional neural network (CNN)...
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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...
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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...
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10/27/2020
Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes
Glioblastoma is the most malignant type of central nervous system tumor ...
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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...
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07/07/2020
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
Learning to infer graph representations and performing spatial reasoning...
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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 ...
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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...
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11/05/2018