Del 15241 i serien Lecture Notes in Computer Science

Machine Learning in Medical Imaging

15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I

Häftad, Engelska, 2024

AvXuanang Xu,Zhiming Cui,Islem Rekik,Xi Ouyang,Kaicong Sun

1 189 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the proceedings of the 15th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 6, 2024.The 63 full papers presented in this volume were carefully reviewed and selected from 100 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging using artificial intelligence (AI) and machine learning (ML).

Produktinformation

Utgivningsdatum2024-10-23
Mått155 x 235 x 24 mm
Vikt663 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor417
FörlagSpringer International Publishing AG
ISBN9783031732836

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Medicinsk bildbehandling inom Medicin

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation.- Generalizable Lymph Node Metastasis Prediction in Pancreatic Cancer.- IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-view Ultrasound Images.- Classification, Regression and Segmentation directly from k-Space in Cardiac MRI.- DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography.- Mitral Regurgitation Recogniton based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification.- Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images.- Lung-CADex: Fully automatic Zero-Shot Detection & Classification of Lung Nodules in Thoracic CT Images.- CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression.- Vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis.- CorticalEvolve: Age-Conditioned Ordinary Differential Equation Model for Cortical Surface Reconstruction.- CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning.- Atherosclerotic plaque stability prediction from longitudinal ultrasound images.- Leveraging IHC Staining to Prompt HER2 Status Prediction from HE-Stained Histopathology Whole Slide Images.- VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains.- Structural-Connectivity-guided Functional Connectivity Representation for Multi-modal Brain Disease Classification.-Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model.- Low-to-high Frequency Progressive K-Space Learning for MRI Reconstruction.- LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging.- 7T-like T1-weighted and TOF MRI synthesis from 3T MRI with Multi-contrast Complementary Deep Learning.- A Probabilistic Hadamard U-Net for MRI Bias Field Correction.- Structure-Preserving Diffusion Model for Unpaired Medical Image Translation.- Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI.- Full-TrSUN: A Full-Resolution Transformer UNet for high quality PET image synthesis.- TS-SR3: Time-strided Denoising Diffusion Probabilistic Model for MR Super-resolution.- PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation.- DyNo: Dynamic Normalization based Test-Time Adaptation for 2D Medical Image Segmentation.-Accurate Delineation of Cerebrovascular Structures from TOF-MRA with Connectivity-Reinforced Deep Learning.- Learning Instance-Discriminative Pixel Embeddings Using Pixel Triplets.- Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound.- Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs.- Enhanced Small Liver Lesion Detection and Segmentation Using a Size-focused Multi-model Approach in CT Scans.- Generation and Segmentation of Simulated Total-Body PET Images.- Integrating Convolutional Neural Network and Transformer for Lumen Prediction along the Aorta Sections.- CSSD: Cross-Supervision and Self-Denoising for Hybrid-Supervised Hepatic Vessel Segmentation.- Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection.- SpineStyle: Conceptualizing Style Transfer for Image-Guided Spine Surgery on Radiographs.- SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention.- Knowledge Distillation based Dual-Branch Network for Whole Slide Image Analysis.- DHSampling: Diversity-based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification.

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Del 15241 i serien Lecture Notes in Computer Science

Machine Learning in Medical Imaging

15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I

Häftad, Engelska, 2024

AvXuanang Xu,Zhiming Cui,Islem Rekik,Xi Ouyang,Kaicong Sun

1 189 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Produktinformation

Utgivningsdatum2024-10-23
Mått155 x 235 x 24 mm
Vikt663 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor417
FörlagSpringer International Publishing AG
ISBN9783031732836

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Medicinsk bildbehandling inom Medicin

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation.- Generalizable Lymph Node Metastasis Prediction in Pancreatic Cancer.- IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-view Ultrasound Images.- Classification, Regression and Segmentation directly from k-Space in Cardiac MRI.- DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography.- Mitral Regurgitation Recogniton based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification.- Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images.- Lung-CADex: Fully automatic Zero-Shot Detection & Classification of Lung Nodules in Thoracic CT Images.- CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression.- Vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis.- CorticalEvolve: Age-Conditioned Ordinary Differential Equation Model for Cortical Surface Reconstruction.- CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning.- Atherosclerotic plaque stability prediction from longitudinal ultrasound images.- Leveraging IHC Staining to Prompt HER2 Status Prediction from HE-Stained Histopathology Whole Slide Images.- VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains.- Structural-Connectivity-guided Functional Connectivity Representation for Multi-modal Brain Disease Classification.-Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model.- Low-to-high Frequency Progressive K-Space Learning for MRI Reconstruction.- LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging.- 7T-like T1-weighted and TOF MRI synthesis from 3T MRI with Multi-contrast Complementary Deep Learning.- A Probabilistic Hadamard U-Net for MRI Bias Field Correction.- Structure-Preserving Diffusion Model for Unpaired Medical Image Translation.- Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI.- Full-TrSUN: A Full-Resolution Transformer UNet for high quality PET image synthesis.- TS-SR3: Time-strided Denoising Diffusion Probabilistic Model for MR Super-resolution.- PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation.- DyNo: Dynamic Normalization based Test-Time Adaptation for 2D Medical Image Segmentation.-Accurate Delineation of Cerebrovascular Structures from TOF-MRA with Connectivity-Reinforced Deep Learning.- Learning Instance-Discriminative Pixel Embeddings Using Pixel Triplets.- Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound.- Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs.- Enhanced Small Liver Lesion Detection and Segmentation Using a Size-focused Multi-model Approach in CT Scans.- Generation and Segmentation of Simulated Total-Body PET Images.- Integrating Convolutional Neural Network and Transformer for Lumen Prediction along the Aorta Sections.- CSSD: Cross-Supervision and Self-Denoising for Hybrid-Supervised Hepatic Vessel Segmentation.- Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection.- SpineStyle: Conceptualizing Style Transfer for Image-Guided Spine Surgery on Radiographs.- SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention.- Knowledge Distillation based Dual-Branch Network for Whole Slide Image Analysis.- DHSampling: Diversity-based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification.

Du kanske också är intresserad av

Del 15241

Überzeugend und sicher präsentieren

Almut Schnerring

Häftad, 2020

139 kr

Del 13583

Machine Learning in Medical Imaging

Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Zhiming Cui

Häftad, 2022

1 189 kr

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Machine Learning in Medical Imaging

Zhiming Cui, Islem Rekik, Heung-IL Suk, Xi Ouyang, Kaicong Sun, Sheng Wang

Häftad, 2026

1 329 kr

Del 14349

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Xiaohuan Cao, Xuanang Xu, Islem Rekik, Zhiming Cui, Xi Ouyang

Häftad, 2023

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Machine Learning in Medical Imaging

Xuanang Xu, Zhiming Cui, Islem Rekik, Xi Ouyang, Kaicong Sun

Häftad, 2024

969 kr

Del 12966

Machine Learning in Medical Imaging

Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan

Häftad, 2021

1 479 kr

Del 12329

Predictive Intelligence in Medicine

Islem Rekik, Ehsan Adeli, Sang Hyun Park, Maria del C. Valdés Hernández

Häftad, 2020

739 kr

Del 15155

Predictive Intelligence in Medicine

Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas

Häftad, 2024

969 kr

Del 12474

Shape in Medical Imaging

Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Orcun Goksel, Islem Rekik

Häftad, 2020

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Machine Learning in Medical Imaging

15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I

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Du kanske också är intresserad av

Machine Learning in Medical Imaging

15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

Du kanske också är intresserad av

Machine Learning in Medical Imaging

15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

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