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Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging : 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings / / Stefan Wesarg [and nine others], editors
| Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging : 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings / / Stefan Wesarg [and nine others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (327 pages) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico |
Artificial intelligence - Medical applications
Diagnostic imaging Diagnostic imaging - Data processing |
| ISBN | 3-031-45249-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Additional Editors -- CLIP Preface -- CLIP Organization -- FAIMI Preface -- FAIMI Organization -- EPIMI Preface -- EPIMI Organization -- Contents -- CLIP -- Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging -- 1 Introduction -- 2 Background -- 3 Method -- 4 Results -- 5 Discussion and Future Work -- References -- Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors -- 1 Introduction -- 2 Methods -- 2.1 Datasets and Preprocessing -- 2.2 Models Training and Evaluation -- 3 Experimental Results -- 3.1 Neurocranial Landmark Coordinates Prediction -- 3.2 3DMM Validation -- 3.3 Ablation Study -- 4 Discussion and Conclusions -- References -- Subject-Specific Modelling of Knee Joint Motion for Routine Pre-operative Planning -- 1 Introduction -- 2 Method -- 2.1 Contact Surface Model of PF and TF Joint -- 2.2 Computation of Knee Flexion Angle -- 2.3 Matching Tibia and Patella Poses -- 3 Experiments and Discussions -- 3.1 Evaluation of Generated Patella and Tibia Poses -- 3.2 Evaluation of Tibia and Patella Pose Matching -- 4 Conclusion -- References -- Towards Fine-Grained Polyp Segmentation and Classification -- 1 Introduction -- 2 Method -- 2.1 Swin Transformer Encoder -- 2.2 Multi-Scale Feature Enhancement -- 2.3 Patch-Expanding Decoder -- 2.4 Upsample Head -- 2.5 Loss Function -- 3 PolypSegm-ASH Dataset -- 4 Results -- 4.1 Experiments on PolypSegm-ASH -- 4.2 Experiments on Binary Polyp Segmentation -- 4.3 Ablation Study. Effect of Up-Samples Before Predictions -- 5 Conclusion -- References -- Automated Orientation and Registration of Cone-Beam Computed Tomography Scans -- 1 Introduction -- 2 Materials -- 3 Proposed Method -- 3.1 Automated Standardized Orientation (ASO) -- 3.2 Automated Registration (AReg).
3.3 Evaluation Metrics -- 3.4 Implementation -- 4 Results -- 4.1 Orientation -- 4.2 Registration -- 5 Discussion -- 6 Conclusion -- A Appendix -- References -- Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation -- 1 Introduction -- 2 Methods -- 2.1 Background -- 2.2 Physically-Primed DNN for MRI Reconstruction -- 3 Experiments -- 3.1 Dataset -- 3.2 Experimental Methodology -- 3.3 Results -- 4 Conclusions -- References -- Uncertainty Based Border-Aware Segmentation Network for Deep Caries -- 1 Introduction -- 2 Related Work -- 2.1 Dental Caries Image Segmentation -- 2.2 Uncertainty Quantification -- 3 Method -- 3.1 Border-Aware Network Using SDF -- 3.2 Uncertainty Based Caries Segmentation -- 4 Experiments and Discussion -- 4.1 Dataset and Settings -- 4.2 Verification of SDF Effectiveness -- 4.3 Verification of Model Robustness -- 5 Conclusion -- References -- An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 Label Generation -- 2.3 CNN Training and Testing -- 2.4 Significance Testing and Gene Set Analysis -- 3 Results -- 3.1 Resnet Comparison -- 3.2 Significant Genes and Pathways -- 3.3 Correlations Between Model Performance and Data Properties -- 3.4 Comparison of Findings with Other Methodologies -- 4 Conclusions -- References -- FAIMI -- De-identification and Obfuscation of Gender Attributes from Retinal Scans -- 1 Introduction -- 1.1 Differential Privacy for Image Obfuscation -- 1.2 Deep Learning for Diabetic Retinopathy and Sex Classification -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Pre-processing -- 2.3 De-identification Framework -- 2.4 Evaluation Framework -- 3 Results -- 3.1 Full Image Snow Results -- 3.2 VS-Snow Results -- 4 Discussion -- 4.1 Privacy-Utility Tradeoff. 4.2 Importance of Vasculature -- 4.3 Limitations and Future Work -- References -- Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction -- 1 Introduction -- 2 Background -- 2.1 Fairness Definitions -- 2.2 Source of Bias -- 3 Methods -- 4 Experimental Analysis -- 4.1 Dataset and Pre-processing -- 4.2 Implementation Details -- 4.3 Results -- 5 Discussion -- 6 Conclusion -- References -- Brain Matters: Exploring Bias in AI for Neuroimaging Research -- 1 Introduction -- 2 Current Problems -- 2.1 Structural Problems -- 2.2 Specific Biases -- 3 Mitigation Strategies -- 3.1 Collect More Representative Data -- 3.2 Share and Collaborate -- 3.3 Reduce Reliance on Inaccessible Data Collection Methods -- 3.4 Develop Both Generic and Specific Models and Employ Transfer Learning -- 3.5 Consider the Use of Data Augmentation -- 3.6 Raise Awareness of Bias and Engage in PPI -- 4 Limitations -- 5 Conclusion -- References -- Bias in Unsupervised Anomaly Detection in Brain MRI -- 1 Introduction -- 2 Materials and Methods -- 3 Experiments and Results -- 3.1 Baseline Performance -- 3.2 Impact of Bias -- 3.3 Sources of Bias -- 4 Conclusion -- References -- Towards Unraveling Calibration Biases in Medical Image Analysis -- 1 Introduction -- 2 Numerical Experiments on Real Data -- 2.1 Data -- 2.2 Model Training -- 2.3 Platt Scaling -- 2.4 Performance Evaluation -- 2.5 Results -- 3 Synthetic Experiments -- 3.1 Data -- 3.2 Performance Evaluation -- 3.3 Results -- 4 Discussion -- References -- Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Datasets -- 3.2 Sampling Strategy -- 3.3 Experimental Settings -- 4 Results -- 4.1 Model Performance Across Diseases, Gender Ratios, and Datasets -- 4.2 Comparison of Different Sampling Strategies. 4.3 Breast Cropping Does Not Mitigate Gender Biases -- 4.4 Dataset Bias v.s. Model Bias -- 5 Discussion and Conclusions -- References -- Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments and Results -- 4.1 Dataset and Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Mitigating Bias in MRI-Based Alzheimer's Disease Classifiers Through Pruning of Deep Neural Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data and Preprocess -- 2.2 Debiasing by Pruning -- 3 Experiment -- 3.1 Implementation and Evaluation -- 3.2 Comparison -- 4 Result -- 5 Discussion and Conclusion -- References -- Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Description and Preprocessing -- 2.2 Models -- 2.3 Bias Evaluation Metrics -- 3 Results and Discussion -- 3.1 Auditing Fairness with Respect to Model Performance -- 3.2 Auditing Fairness with Respect to Model Calibration -- 4 Conclusions -- References -- Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations -- 1 Introduction -- 2 Assessing Debiasing Mechanisms -- 2.1 Methodology -- 2.2 Experiments and Results -- 3 Improving the Debiasing of Spurious Correlations -- References -- Analysing Race and Sex Bias in Brain Age Prediction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Bias Analysis -- 3 Results -- 4 Discussion and Conclusion -- A Appendix -- References -- Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging -- 1 Introduction -- 2 Materials and Methods -- 2.1 Brain MR Datasets -- 2.2 Pre-processing -- 2.3 Brain Age Prediction Task -- 2.4 Grad-CAM Interpretability. 2.5 Experimental Setting -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation -- 1 Introduction -- 2 Materials -- 3 Methods -- 3.1 Dataset Sampling -- 3.2 Model Architecture and Implementation -- 3.3 Model Evaluation -- 4 Results -- 5 Discussion -- References -- An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features -- 1 Introduction -- 2 Materials -- 3 Methods -- 4 Experiments and Results -- 4.1 Race Classification -- 4.2 Bias Analysis -- 4.3 Covariate Analysis -- 5 Discussion and Conclusions -- References -- How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis -- 1 Introduction -- 2 Methods -- 2.1 Data Collection and Processing -- 2.2 Training Setup -- 2.3 Evaluation Scheme -- 3 Result -- 4 Discussion and Conclusion -- References -- Revisiting Skin Tone Fairness in Dermatological Lesion Classification -- 1 Introduction -- 2 Methods and Materials -- 2.1 Dataset -- 2.2 Evaluation of Skin Lesion Classification -- 2.3 Skin Tone Estimation -- 3 Experiments and Results -- 3.1 Comparison of ITA Estimation Methods -- 3.2 Fairness Analysis -- 3.3 Simulated Data Shifts -- 4 Conclusions -- References -- A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Multiple Instance Learning -- 3 Experiments -- 3.1 Sex Bias -- 3.2 Age Bias -- 4 Results -- 4.1 Sex Bias -- 4.2 Age Bias -- 5 Discussion -- References -- Unsupervised Bias Discovery in Medical Image Segmentation -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Bias Discovery via Reverse Classification Accuracy -- 4 Experiments and Discussion. 4.1 Synthetic Experiment: Validating RCA for UBD. |
| Record Nr. | UNINA-9910747597703321 |
| Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging : 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings / / Stefan Wesarg [and nine others], editors
| Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging : 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings / / Stefan Wesarg [and nine others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (327 pages) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico |
Artificial intelligence - Medical applications
Diagnostic imaging Diagnostic imaging - Data processing |
| ISBN | 3-031-45249-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Additional Editors -- CLIP Preface -- CLIP Organization -- FAIMI Preface -- FAIMI Organization -- EPIMI Preface -- EPIMI Organization -- Contents -- CLIP -- Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging -- 1 Introduction -- 2 Background -- 3 Method -- 4 Results -- 5 Discussion and Future Work -- References -- Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors -- 1 Introduction -- 2 Methods -- 2.1 Datasets and Preprocessing -- 2.2 Models Training and Evaluation -- 3 Experimental Results -- 3.1 Neurocranial Landmark Coordinates Prediction -- 3.2 3DMM Validation -- 3.3 Ablation Study -- 4 Discussion and Conclusions -- References -- Subject-Specific Modelling of Knee Joint Motion for Routine Pre-operative Planning -- 1 Introduction -- 2 Method -- 2.1 Contact Surface Model of PF and TF Joint -- 2.2 Computation of Knee Flexion Angle -- 2.3 Matching Tibia and Patella Poses -- 3 Experiments and Discussions -- 3.1 Evaluation of Generated Patella and Tibia Poses -- 3.2 Evaluation of Tibia and Patella Pose Matching -- 4 Conclusion -- References -- Towards Fine-Grained Polyp Segmentation and Classification -- 1 Introduction -- 2 Method -- 2.1 Swin Transformer Encoder -- 2.2 Multi-Scale Feature Enhancement -- 2.3 Patch-Expanding Decoder -- 2.4 Upsample Head -- 2.5 Loss Function -- 3 PolypSegm-ASH Dataset -- 4 Results -- 4.1 Experiments on PolypSegm-ASH -- 4.2 Experiments on Binary Polyp Segmentation -- 4.3 Ablation Study. Effect of Up-Samples Before Predictions -- 5 Conclusion -- References -- Automated Orientation and Registration of Cone-Beam Computed Tomography Scans -- 1 Introduction -- 2 Materials -- 3 Proposed Method -- 3.1 Automated Standardized Orientation (ASO) -- 3.2 Automated Registration (AReg).
3.3 Evaluation Metrics -- 3.4 Implementation -- 4 Results -- 4.1 Orientation -- 4.2 Registration -- 5 Discussion -- 6 Conclusion -- A Appendix -- References -- Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation -- 1 Introduction -- 2 Methods -- 2.1 Background -- 2.2 Physically-Primed DNN for MRI Reconstruction -- 3 Experiments -- 3.1 Dataset -- 3.2 Experimental Methodology -- 3.3 Results -- 4 Conclusions -- References -- Uncertainty Based Border-Aware Segmentation Network for Deep Caries -- 1 Introduction -- 2 Related Work -- 2.1 Dental Caries Image Segmentation -- 2.2 Uncertainty Quantification -- 3 Method -- 3.1 Border-Aware Network Using SDF -- 3.2 Uncertainty Based Caries Segmentation -- 4 Experiments and Discussion -- 4.1 Dataset and Settings -- 4.2 Verification of SDF Effectiveness -- 4.3 Verification of Model Robustness -- 5 Conclusion -- References -- An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 Label Generation -- 2.3 CNN Training and Testing -- 2.4 Significance Testing and Gene Set Analysis -- 3 Results -- 3.1 Resnet Comparison -- 3.2 Significant Genes and Pathways -- 3.3 Correlations Between Model Performance and Data Properties -- 3.4 Comparison of Findings with Other Methodologies -- 4 Conclusions -- References -- FAIMI -- De-identification and Obfuscation of Gender Attributes from Retinal Scans -- 1 Introduction -- 1.1 Differential Privacy for Image Obfuscation -- 1.2 Deep Learning for Diabetic Retinopathy and Sex Classification -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Pre-processing -- 2.3 De-identification Framework -- 2.4 Evaluation Framework -- 3 Results -- 3.1 Full Image Snow Results -- 3.2 VS-Snow Results -- 4 Discussion -- 4.1 Privacy-Utility Tradeoff. 4.2 Importance of Vasculature -- 4.3 Limitations and Future Work -- References -- Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction -- 1 Introduction -- 2 Background -- 2.1 Fairness Definitions -- 2.2 Source of Bias -- 3 Methods -- 4 Experimental Analysis -- 4.1 Dataset and Pre-processing -- 4.2 Implementation Details -- 4.3 Results -- 5 Discussion -- 6 Conclusion -- References -- Brain Matters: Exploring Bias in AI for Neuroimaging Research -- 1 Introduction -- 2 Current Problems -- 2.1 Structural Problems -- 2.2 Specific Biases -- 3 Mitigation Strategies -- 3.1 Collect More Representative Data -- 3.2 Share and Collaborate -- 3.3 Reduce Reliance on Inaccessible Data Collection Methods -- 3.4 Develop Both Generic and Specific Models and Employ Transfer Learning -- 3.5 Consider the Use of Data Augmentation -- 3.6 Raise Awareness of Bias and Engage in PPI -- 4 Limitations -- 5 Conclusion -- References -- Bias in Unsupervised Anomaly Detection in Brain MRI -- 1 Introduction -- 2 Materials and Methods -- 3 Experiments and Results -- 3.1 Baseline Performance -- 3.2 Impact of Bias -- 3.3 Sources of Bias -- 4 Conclusion -- References -- Towards Unraveling Calibration Biases in Medical Image Analysis -- 1 Introduction -- 2 Numerical Experiments on Real Data -- 2.1 Data -- 2.2 Model Training -- 2.3 Platt Scaling -- 2.4 Performance Evaluation -- 2.5 Results -- 3 Synthetic Experiments -- 3.1 Data -- 3.2 Performance Evaluation -- 3.3 Results -- 4 Discussion -- References -- Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Datasets -- 3.2 Sampling Strategy -- 3.3 Experimental Settings -- 4 Results -- 4.1 Model Performance Across Diseases, Gender Ratios, and Datasets -- 4.2 Comparison of Different Sampling Strategies. 4.3 Breast Cropping Does Not Mitigate Gender Biases -- 4.4 Dataset Bias v.s. Model Bias -- 5 Discussion and Conclusions -- References -- Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments and Results -- 4.1 Dataset and Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Mitigating Bias in MRI-Based Alzheimer's Disease Classifiers Through Pruning of Deep Neural Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data and Preprocess -- 2.2 Debiasing by Pruning -- 3 Experiment -- 3.1 Implementation and Evaluation -- 3.2 Comparison -- 4 Result -- 5 Discussion and Conclusion -- References -- Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Description and Preprocessing -- 2.2 Models -- 2.3 Bias Evaluation Metrics -- 3 Results and Discussion -- 3.1 Auditing Fairness with Respect to Model Performance -- 3.2 Auditing Fairness with Respect to Model Calibration -- 4 Conclusions -- References -- Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations -- 1 Introduction -- 2 Assessing Debiasing Mechanisms -- 2.1 Methodology -- 2.2 Experiments and Results -- 3 Improving the Debiasing of Spurious Correlations -- References -- Analysing Race and Sex Bias in Brain Age Prediction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Bias Analysis -- 3 Results -- 4 Discussion and Conclusion -- A Appendix -- References -- Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging -- 1 Introduction -- 2 Materials and Methods -- 2.1 Brain MR Datasets -- 2.2 Pre-processing -- 2.3 Brain Age Prediction Task -- 2.4 Grad-CAM Interpretability. 2.5 Experimental Setting -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation -- 1 Introduction -- 2 Materials -- 3 Methods -- 3.1 Dataset Sampling -- 3.2 Model Architecture and Implementation -- 3.3 Model Evaluation -- 4 Results -- 5 Discussion -- References -- An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features -- 1 Introduction -- 2 Materials -- 3 Methods -- 4 Experiments and Results -- 4.1 Race Classification -- 4.2 Bias Analysis -- 4.3 Covariate Analysis -- 5 Discussion and Conclusions -- References -- How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis -- 1 Introduction -- 2 Methods -- 2.1 Data Collection and Processing -- 2.2 Training Setup -- 2.3 Evaluation Scheme -- 3 Result -- 4 Discussion and Conclusion -- References -- Revisiting Skin Tone Fairness in Dermatological Lesion Classification -- 1 Introduction -- 2 Methods and Materials -- 2.1 Dataset -- 2.2 Evaluation of Skin Lesion Classification -- 2.3 Skin Tone Estimation -- 3 Experiments and Results -- 3.1 Comparison of ITA Estimation Methods -- 3.2 Fairness Analysis -- 3.3 Simulated Data Shifts -- 4 Conclusions -- References -- A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Multiple Instance Learning -- 3 Experiments -- 3.1 Sex Bias -- 3.2 Age Bias -- 4 Results -- 4.1 Sex Bias -- 4.2 Age Bias -- 5 Discussion -- References -- Unsupervised Bias Discovery in Medical Image Segmentation -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Bias Discovery via Reverse Classification Accuracy -- 4 Experiments and Discussion. 4.1 Synthetic Experiment: Validating RCA for UBD. |
| Record Nr. | UNISA-996558469503316 |
| Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Clinical Image-Based Procedures. From Planning to Intervention [[electronic resource] ] : International Workshop, CLIP 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers / / edited by Klaus Drechsler, Marius Erdt, Marius George Lingurau, Cristina Oyarzun Laura, Karun Sharma, Raj Shekhar, Stefan Wesarg
| Clinical Image-Based Procedures. From Planning to Intervention [[electronic resource] ] : International Workshop, CLIP 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers / / edited by Klaus Drechsler, Marius Erdt, Marius George Lingurau, Cristina Oyarzun Laura, Karun Sharma, Raj Shekhar, Stefan Wesarg |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (X, 132 p. 59 illus.) |
| Disciplina | 616.0754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Pattern recognition systems User interfaces (Computer systems) Human-computer interaction Computer graphics Image processing - Digital techniques Computer simulation Computer Vision Automated Pattern Recognition User Interfaces and Human Computer Interaction Computer Graphics Computer Imaging, Vision, Pattern Recognition and Graphics Computer Modelling |
| ISBN | 3-642-38079-4 |
| Classificazione | SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Head Motion Compensation for Arterial Spin Labeling Using Optical Motion Tracking -- Intervention Planning of Hepatocellular Carcinoma Radio-Frequency Ablations -- A Flexible Surgical Tool Localization Using a 3D Ultrasound Calibration System for Fetoscopic Tracheal Occlusion (FETO) -- Analysis of Structural MRI Data for the Localisation of Focal Cortical Dysplasia in Epilepsy -- Automatic Detection and Quantification of Mitral Regurgitation on TTE with Application to Assist Mitral Clip Planning and Evaluation -- A Prospective Evaluation of Computer-Assisted Deep Brain Stimulation Trajectory Planning -- Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization -- Towards Automatic Path Planning for Multi-Port Minimally-Traumatic Lateral Skull Base Surgery -- Automated Segmentation and Anatomical Labeling of Abdominal Arteries Based on Multi-organ Segmentation from Contrast-Enhanced CT Data -- Technical Evaluation of a Third Generation Optical Pose Tracker for Motion Analysis and Image-Guided Surgery -- Personalized Surgical Planning to Support Interventions and Training of Surgeons: Biomodels for Planning and Guiance -- Ultrasound B-Mode Segmentation for Registration with CT in Percutaneous Hepatic Interventions -- Computer-Based Quantitative Assessment of Skull Morphology for Craniosynostosis -- Intra-patient Non-rigid Registration of 3D Vascular Cerebral Images -- Comparison of Rigid Registration Methods in Four Clinical Scenarios -- Differences in Radiotherapy Delivery and Outcome Due to Contouring Variation. |
| Record Nr. | UNINA-9910483612703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Clinical Image-Based Procedures. From Planning to Intervention [[electronic resource] ] : International Workshop, CLIP 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers / / edited by Klaus Drechsler, Marius Erdt, Marius George Lingurau, Cristina Oyarzun Laura, Karun Sharma, Raj Shekhar, Stefan Wesarg
| Clinical Image-Based Procedures. From Planning to Intervention [[electronic resource] ] : International Workshop, CLIP 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers / / edited by Klaus Drechsler, Marius Erdt, Marius George Lingurau, Cristina Oyarzun Laura, Karun Sharma, Raj Shekhar, Stefan Wesarg |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (X, 132 p. 59 illus.) |
| Disciplina | 616.0754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Pattern recognition systems User interfaces (Computer systems) Human-computer interaction Computer graphics Image processing - Digital techniques Computer simulation Computer Vision Automated Pattern Recognition User Interfaces and Human Computer Interaction Computer Graphics Computer Imaging, Vision, Pattern Recognition and Graphics Computer Modelling |
| ISBN | 3-642-38079-4 |
| Classificazione | SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Head Motion Compensation for Arterial Spin Labeling Using Optical Motion Tracking -- Intervention Planning of Hepatocellular Carcinoma Radio-Frequency Ablations -- A Flexible Surgical Tool Localization Using a 3D Ultrasound Calibration System for Fetoscopic Tracheal Occlusion (FETO) -- Analysis of Structural MRI Data for the Localisation of Focal Cortical Dysplasia in Epilepsy -- Automatic Detection and Quantification of Mitral Regurgitation on TTE with Application to Assist Mitral Clip Planning and Evaluation -- A Prospective Evaluation of Computer-Assisted Deep Brain Stimulation Trajectory Planning -- Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization -- Towards Automatic Path Planning for Multi-Port Minimally-Traumatic Lateral Skull Base Surgery -- Automated Segmentation and Anatomical Labeling of Abdominal Arteries Based on Multi-organ Segmentation from Contrast-Enhanced CT Data -- Technical Evaluation of a Third Generation Optical Pose Tracker for Motion Analysis and Image-Guided Surgery -- Personalized Surgical Planning to Support Interventions and Training of Surgeons: Biomodels for Planning and Guiance -- Ultrasound B-Mode Segmentation for Registration with CT in Percutaneous Hepatic Interventions -- Computer-Based Quantitative Assessment of Skull Morphology for Craniosynostosis -- Intra-patient Non-rigid Registration of 3D Vascular Cerebral Images -- Comparison of Rigid Registration Methods in Four Clinical Scenarios -- Differences in Radiotherapy Delivery and Outcome Due to Contouring Variation. |
| Record Nr. | UNISA-996466175203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura
| Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (IX, 85 p. 40 illus.) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Pattern recognition systems Medical informatics Computer graphics Computer Vision Automated Pattern Recognition Health Informatics Computer Graphics |
| ISBN | 3-319-46472-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis -- Validation of an Improved Patient-Specific Mold Design for Registration of In-Vivo MRI and Histology of the Prostate -- Fast, Intuitive, Vision-Based: Performance Metrics for Visual Registration, Instrument Guidance, and Image Fusion -- Uncertainty Quantification of Cochlear Implant Insertion from CT images -- Geodesic Registration for Cervical Cancer Radiotherapy -- Detection of Wrist Fractures in X-Ray Images -- Trajectory Smoothing for Guiding Aortic Valve Delivery with Transapical Access -- Stable Anatomical Structure Tracking for video-bronchoscopy Navigation -- An Automatic Free Fluid Detection for Morrison's-Pouch -- Towards a Statistical Shape-aware Deformable Contour Model for Cranial Nerve Identification. |
| Record Nr. | UNINA-9910484190803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura
| Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (IX, 85 p. 40 illus.) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Pattern recognition systems Medical informatics Computer graphics Computer Vision Automated Pattern Recognition Health Informatics Computer Graphics |
| ISBN | 3-319-46472-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis -- Validation of an Improved Patient-Specific Mold Design for Registration of In-Vivo MRI and Histology of the Prostate -- Fast, Intuitive, Vision-Based: Performance Metrics for Visual Registration, Instrument Guidance, and Image Fusion -- Uncertainty Quantification of Cochlear Implant Insertion from CT images -- Geodesic Registration for Cervical Cancer Radiotherapy -- Detection of Wrist Fractures in X-Ray Images -- Trajectory Smoothing for Guiding Aortic Valve Delivery with Transapical Access -- Stable Anatomical Structure Tracking for video-bronchoscopy Navigation -- An Automatic Free Fluid Detection for Morrison's-Pouch -- Towards a Statistical Shape-aware Deformable Contour Model for Cranial Nerve Identification. |
| Record Nr. | UNISA-996465670003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers / / edited by Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru
| Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers / / edited by Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 132 p. 58 illus.) |
| Disciplina | 616.0754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Pattern recognition systems Medical informatics Computer graphics Computer Vision Automated Pattern Recognition Health Informatics Computer Graphics |
| ISBN | 3-319-31808-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Medical Imaging -- Translational Research -- Segmentation Registration -- Preoperative Planning -- Clinical Procedures -- Computational Modeling. |
| Record Nr. | UNISA-996466047703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers / / edited by Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru
| Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers / / edited by Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 132 p. 58 illus.) |
| Disciplina | 616.0754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Pattern recognition systems Medical informatics Computer graphics Computer Vision Automated Pattern Recognition Health Informatics Computer Graphics |
| ISBN | 3-319-31808-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Medical Imaging -- Translational Research -- Segmentation Registration -- Preoperative Planning -- Clinical Procedures -- Computational Modeling. |
| Record Nr. | UNINA-9910484555403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : Second International Workshop, CLIP 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Revised Selected Papers / / edited by Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Angel González Ballester, Klaus Drechsler
| Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : Second International Workshop, CLIP 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Revised Selected Papers / / edited by Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Angel González Ballester, Klaus Drechsler |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (X, 162 p. 91 illus.) : online resource |
| Disciplina |
006.6
006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Pattern recognition systems Medical informatics Computer Vision Automated Pattern Recognition Health Informatics |
| ISBN | 3-319-05666-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates 1 -- Forming the Interface Between Doctor and Designing Engineer -- Image-based Bronchoscopy Navigation System Based on CT and C-Arm Fluoroscopy -- Path Planning for Multi-port Lateral Skull Base Surgery based on First Clinical Experiences -- On-line Lumen Centre Detection in Gastrointestinal and Respiratory Endoscopy -- Automatic Markov Random Field Segmentation of Susceptibility-Weighted MR Venography -- MR Enterography Image Fusion in Small Bowel Analysis -- Landmark-based Surgical Navigation -- Structure-guided Nonrigid Registration of CT{MR Pelvis Scans with Large Deformations in MR-based Image Guided Radiation Therapy -- Placement of External Ventricular Drains Using an Average Model -- Automated Kidney Detection and Segmentation in 3D Ultrasound -- Surgical Work ow Analysis, Design and Development of an Image-Based Navigation System for Endoscopic Interventions -- Automatic Optimization of Depth Electrode Trajectory Planning -- Towards A Clinical Stereoscopic Augmented Reality System for Laparoscopic Surgery -- Automatic Detection of Misalignment in Rigid 3D-2D Registration -- Prototype Design and Phantom Evaluation of a Device for Co-Registered MRI/TRUS Imaging of the Prostate -- Modelling Smooth Intensity Changes in the Putamen for Diagnosis of Sporadic Creutzfeldt-Jakob Disease -- Inter-slice Correspondence for 2D Ultrasound-guided Procedures -- First Clinical Experience with BMD Assessment in Vertebrae Using Dual-energy CT. |
| Record Nr. | UNINA-9910484580003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : Third International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers / / edited by Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt
| Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : Third International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers / / edited by Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XII, 160 p. 72 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Pattern recognition systems Medical informatics Computer Vision Automated Pattern Recognition Health Informatics |
| ISBN | 3-319-13909-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Open Source Multimodal Image-guided Prostate Biopsy Framework -- Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans -- Data-driven learning to detect characteristic kinetics in ultrasound images of arthritis -- COSMO - Coupled Shape Model for radiation therapy planning of head & neck cancer -- Automated Estimation of Aortic Intima-Media Thickness from Fetal Ultrasound -- Polyp Segmentation Method in Colonoscopy Videos by means of MSA-DOVA Energy Maps Calculation -- Generation of Patient-specific 3D Cardiac Chamber Models for Real-time Guidance in Cardiac Ablation Procedures -- Hierarchical shape mod ling of the cochlea and surrounding risk structures for minimally invasive cochlear implant Surgery -- Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block -- Confidence Weighted Local Phase Features for Robust Bone Surface Segmentation in Ultrasound -- Evaluation of Electromagnetic Tracking for Stereoscopic Augmented Reality Laparoscopic Visualization -- Automatic lung tumor segmentation with leaks removal in follow-up CT studies -- Patient Specific Simulation for Planning of Cochlear Implantation Surgery -- Weighted Partitioned Active Shape Model for Optic Pathway Segmentation -- Longitudinal Intensity Normalization in Multiple Sclerosis Patients -- Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning -- Simultaneous Multi-Phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation -- Ultrasound-based Predication of Prostate Cancer in MRI-guided Biopsy -- Applying An Active Contour Model for Pre-Operative Planning of Transapical Aortic Valve Replacement. |
| Record Nr. | UNINA-9910483393703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
