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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

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Cover of 'Medical Image Computing and Computer Assisted Intervention – MICCAI 2022'

Table of Contents

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    Book Overview
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    Chapter 1 Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy
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    Chapter 2 Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency
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    Chapter 3 USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer
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    Chapter 4 Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer
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    Chapter 5 DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
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    Chapter 6 A Novel Fusion Network for Morphological Analysis of Common Iliac Artery
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    Chapter 7 Hand Hygiene Quality Assessment Using Image-to-Image Translation
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    Chapter 8 An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery
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    Chapter 9 PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection
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    Chapter 10 Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning
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    Chapter 11 USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding
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    Chapter 12 Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion
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    Chapter 13 SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty
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    Chapter 14 Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network
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    Chapter 15 Mixed Reality and Deep Learning for External Ventricular Drainage Placement: A Fast and Automatic Workflow for Emergency Treatments
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    Chapter 16 Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy
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    Chapter 17 Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model
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    Chapter 18 Multi-task Video Enhancement for Dental Interventions
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    Chapter 19 Weighted Concordance Index Loss-Based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
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    Chapter 20 Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models
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    Chapter 21 Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images
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    Chapter 22 Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis
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    Chapter 23 Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients
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    Chapter 24 Contrastive Masked Transformers for Forecasting Renal Transplant Function
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    Chapter 25 Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians
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    Chapter 26 Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma
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    Chapter 27 Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types
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    Chapter 28 Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis
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    Chapter 29 Deep Multimodal Guidance for Medical Image Classification
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    Chapter 30 Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning
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    Chapter 31 TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction
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    Chapter 32 Bayesian Dense Inverse Searching Algorithm for Real-Time Stereo Matching in Minimally Invasive Surgery
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    Chapter 33 Conditional Generative Data Augmentation for Clinical Audio Datasets
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    Chapter 34 Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need
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    Chapter 35 Free Lunch for Surgical Video Understanding by Distilling Self-supervisions
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    Chapter 36 Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches
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    Chapter 37 CaRTS: Causality-Driven Robot Tool Segmentation from Vision and Kinematics Data
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    Chapter 38 Instrument-tissue Interaction Quintuple Detection in Surgery Videos
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    Chapter 39 Surgical Skill Assessment via Video Semantic Aggregation
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    Chapter 40 Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning
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    Chapter 41 Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
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    Chapter 42 Towards Holistic Surgical Scene Understanding
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    Chapter 43 Multi-modal Unsupervised Pre-training for Surgical Operating Room Workflow Analysis
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    Chapter 44 Deep Laparoscopic Stereo Matching with Transformers
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    Chapter 45 4D-OR: Semantic Scene Graphs for OR Domain Modeling
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    Chapter 46 AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
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    Chapter 47 Retrieval of Surgical Phase Transitions Using Reinforcement Learning
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    Chapter 48 SGT: Scene Graph-Guided Transformer for Surgical Report Generation
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    Chapter 49 CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy
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    Chapter 51 Adaptation of Surgical Activity Recognition Models Across Operating Rooms
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    Chapter 52 Video-Based Surgical Skills Assessment Using Long Term Tool Tracking
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    Chapter 53 Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment
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    Chapter 54 Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement
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    Chapter 55 Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition
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    Chapter 56 Ideal Midsagittal Plane Detection Using Deep Hough Plane Network for Brain Surgical Planning
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    Chapter 57 Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses
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    Chapter 58 Stereo Depth Estimation via Self-supervised Contrastive Representation Learning
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    Chapter 59 Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning
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    Chapter 60 On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs
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    Chapter 61 Low-Resource Adversarial Domain Adaptation for Cross-modality Nucleus Detection
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    Chapter 62 Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation
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    Chapter 63 Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching
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    Chapter 64 Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation
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    Chapter 65 Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis
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    Chapter 66 Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores
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    Chapter 67 vMFNet: Compositionality Meets Domain-Generalised Segmentation
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    Chapter 68 Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling
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    Chapter 69 Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis
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    Chapter 70 Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method
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    Chapter 71 Attention-Enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation
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    Chapter 72 Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification
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    Chapter 73 Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis
Attention for Chapter 18: Multi-task Video Enhancement for Dental Interventions
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Chapter title
Multi-task Video Enhancement for Dental Interventions
Chapter number 18
Book title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
Published in
arXiv, October 2022
DOI 10.1007/978-3-031-16449-1_18
Book ISBNs
978-3-03-116448-4, 978-3-03-116449-1
Authors

Efklidis Katsaros, Piotr K. Ostrowski, Krzysztof Włódarczak, Emilia Lewandowska, Jacek Ruminski, Damian Siupka-Mróz, Łukasz Lassmann, Anna Jezierska, Daniel Węsierski, Katsaros, Efklidis, Ostrowski, Piotr K., Włódarczak, Krzysztof, Lewandowska, Emilia, Ruminski, Jacek, Siupka-Mróz, Damian, Lassmann, Łukasz, Jezierska, Anna, Węsierski, Daniel

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

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Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2022.
All research outputs
#15,277,704
of 23,479,361 outputs
Outputs from arXiv
#333,788
of 970,514 outputs
Outputs of similar age
#224,685
of 444,002 outputs
Outputs of similar age from arXiv
#16,029
of 42,987 outputs
Altmetric has tracked 23,479,361 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970,514 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 444,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42,987 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.