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Showing 50 publications by Konstantinos Kamnitsas

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Liang Z, Guo X, Noble JA & Kamnitsas K (2024)

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BibTeX 
@misc{itermaskiterati-2024/6,
  title={IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI},
  author={Liang Z, Guo X, Noble JA & Kamnitsas K},
  year = "2024"
}

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities

Wagner F, Xu W, Saha P, Liang Z, Whitehouse D et al. (2024)

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BibTeX 
@misc{feasibilityoffe-2024/6,
  title={Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities},
  author={Wagner F, Xu W, Saha P, Liang Z, Whitehouse D et al.},
  year = "2024"
}

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation

Xu W, Moffat M, Seale T, Liang Z, Wagner F et al. (2024)

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@misc{feasibilityandb-2024/5,
  title={Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation},
  author={Xu W, Moffat M, Seale T, Liang Z, Wagner F et al.},
  year = "2024"
}

Semi-Supervised Learning for Deep Causal Generative Models

Ibrahim Y, Warr H & Kamnitsas K (2024)

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@misc{semisupervisedl-2024/3,
  title={Semi-Supervised Learning for Deep Causal Generative Models},
  author={Ibrahim Y, Warr H & Kamnitsas K},
  year = "2024"
}

As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Hu A, Gu J, Pinto F, Kamnitsas K & Torr P (2024)

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@misc{asfirmastheirfo-2024/3,
  title={As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?},
  author={Hu A, Gu J, Pinto F, Kamnitsas K & Torr P},
  year = "2024"
}

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

Saha P, Mishra D, Wagner F, Kamnitsas K & Noble JA (2024)

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@misc{examiningmodali-2024/2,
  title={Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection},
  author={Saha P, Mishra D, Wagner F, Kamnitsas K & Noble JA},
  year = "2024"
}

Preface DART 2023

Koch L, Cardoso MJ, Ferrante E, Islam M, Jiang M et al. (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14293 LNCS, v-vi

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BibTeX 
@article{prefacedart-2024/1,
  title={Preface DART 2023},
  author={Koch L, Cardoso MJ, Ferrante E, Islam M, Jiang M et al.},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={14293 LNCS},
  pages={v-vi},
  year = "2024"
}

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment

Wagner F, Li Z, Saha P & Kamnitsas K (2024), 14349, 253-263

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BibTeX View PDF 
@inproceedings{postdeploymenta-2024/,
  title={Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment},
  author={Wagner F, Li Z, Saha P & Kamnitsas K},
  pages={253-263},
  year = "2024"
}

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.

Li Z, Kamnitsas K, Dou Q, Qin C & Glocker B (2023), IEEE transactions on medical imaging, 42(11), 3323-3335

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BibTeX View PDF 
@article{jointoptimizati-2023/11,
  title={Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.},
  author={Li Z, Kamnitsas K, Dou Q, Qin C & Glocker B},
  journal={IEEE transactions on medical imaging},
  volume={42},
  pages={3323-3335},
  year = "2023"
}

On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging

Anthony H & Kamnitsas K (2023)

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@misc{ontheuseofmahal-2023/9,
  title={On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging},
  author={Anthony H & Kamnitsas K},
  year = "2023"
}

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment

Wagner F, Li Z, Saha P & Kamnitsas K (2023)

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BibTeX View PDF 
@misc{postdeploymenta-2023/8,
  title={Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment},
  author={Wagner F, Li Z, Saha P & Kamnitsas K},
  year = "2023"
}

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI

Liang Z, Anthony H, Wagner F & Kamnitsas K (2023)

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BibTeX View PDF 
@misc{modalitycyclesw-2023/8,
  title={Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI},
  author={Liang Z, Anthony H, Wagner F & Kamnitsas K},
  year = "2023"
}

A Review of the Metrics Used to Assess Auto-Contouring Systems in Radiotherapy.

Mackay K, Bernstein D, Glocker B, Kamnitsas K & Taylor A (2023), Clinical oncology (Royal College of Radiologists (Great Britain)), 35(6), 354-369

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@article{areviewofthemet-2023/6,
  title={A Review of the Metrics Used to Assess Auto-Contouring Systems in Radiotherapy.},
  author={Mackay K, Bernstein D, Glocker B, Kamnitsas K & Taylor A},
  journal={Clinical oncology (Royal College of Radiologists (Great Britain))},
  volume={35},
  pages={354-369},
  year = "2023"
}

Context Label Learning: Improving Background Class Representations in Semantic Segmentation.

Li Z, Kamnitsas K, Ouyang C, Chen C & Glocker B (2023), IEEE transactions on medical imaging, 42(6), 1885-1896

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BibTeX View PDF 
@article{contextlabellea-2023/6,
  title={Context Label Learning: Improving Background Class Representations in Semantic Segmentation.},
  author={Li Z, Kamnitsas K, Ouyang C, Chen C & Glocker B},
  journal={IEEE transactions on medical imaging},
  volume={42},
  pages={1885-1896},
  year = "2023"
}

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation

Li Z, Kamnitsas K, Dou Q, Qin C & Glocker B (2023)

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BibTeX View PDF 
@misc{jointoptimizati-2023/5,
  title={Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation},
  author={Li Z, Kamnitsas K, Dou Q, Qin C & Glocker B},
  year = "2023"
}

Author Correction: Federated learning enables big data for rare cancer boundary detection.

Pati S, Baid U, Edwards B, Sheller M, Wang S-H et al. (2023), Nature communications, 14(1), 436

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@article{authorcorrectio-2023/1,
  title={Author Correction: Federated learning enables big data for rare cancer boundary detection.},
  author={Pati S, Baid U, Edwards B, Sheller M, Wang S-H et al.},
  journal={Nature communications},
  volume={14},
  pages={436},
  publisher={Springer Nature},
  year = "2023"
}

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI

Liang Z, Anthony H, Wagner F & Kamnitsas K (2023), 14394, 168-181

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@inproceedings{modalitycyclesw-2023/,
  title={Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI},
  author={Liang Z, Anthony H, Wagner F & Kamnitsas K},
  pages={168-181},
  year = "2023"
}

On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging

Anthony H & Kamnitsas K (2023), 14291, 136-146

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@misc{ontheuseofmahal-2023/,
  title={On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging},
  author={Anthony H & Kamnitsas K},
  year = "2023"
}

Context Label Learning: Improving Background Class Representations in Semantic Segmentation

Li Z, Kamnitsas K, Ouyang C, Chen C & Glocker B (2022)

Altmetric score is
BibTeX View PDF 
@misc{contextlabellea-2022/12,
  title={Context Label Learning: Improving Background Class Representations in Semantic Segmentation},
  author={Li Z, Kamnitsas K, Ouyang C, Chen C & Glocker B},
  year = "2022"
}

Federated learning enables big data for rare cancer boundary detection.

Pati S, Baid U, Edwards B, Sheller M, Wang S-H et al. (2022), Nature communications, 13(1), 7346-7346

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BibTeX View PDF 
@article{federatedlearni-2022/12,
  title={Federated learning enables big data for rare cancer boundary detection.},
  author={Pati S, Baid U, Edwards B, Sheller M, Wang S-H et al.},
  journal={Nature communications},
  volume={13},
  pages={7346-7346},
  year = "2022"
}

Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Li Z, Kamnitsas K, Islam M, Chen C & Glocker B (2022)

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BibTeX View PDF 
@misc{estimatingmodel-2022/7,
  title={Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores},
  author={Li Z, Kamnitsas K, Islam M, Chen C & Glocker B},
  year = "2022"
}

Distributional Gaussian Processes Layers for Out-of-Distribution Detection

Popescu SG, Sharp DJ, Cole JH, Kamnitsas K & Glocker B (2022)

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@misc{distributionalg-2022/6,
  title={Distributional Gaussian Processes Layers for Out-of-Distribution Detection},
  author={Popescu SG, Sharp DJ, Cole JH, Kamnitsas K & Glocker B},
  year = "2022"
}

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al. (2022), BMJ, 377

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@article{reportingguidel-2022/5,
  title={Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI},
  author={Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al.},
  journal={BMJ},
  volume={377},
  number={e070904},
  publisher={BMJ Publishing Group},
  year = "2022"
}

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al. (2022), Nature medicine, 28(5), 924-933

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@article{reportingguidel-2022/5,
  title={Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.},
  author={Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al.},
  journal={Nature medicine},
  volume={28},
  pages={924-933},
  year = "2022"
}

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Pati S, Baid U, Edwards B, Sheller M, Wang S-H et al. (2022)

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BibTeX View PDF 
@misc{federatedlearni-2022/4,
  title={Federated Learning Enables Big Data for Rare Cancer Boundary Detection},
  author={Pati S, Baid U, Edwards B, Sheller M, Wang S-H et al.},
  year = "2022"
}

Preface

Cardoso MJ, Dou Q, Islam M, Kamnitsas K, Koch L et al. (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13542 LNCS, v-vi

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BibTeX 
@article{preface-2022/1,
  title={Preface},
  author={Cardoso MJ, Dou Q, Islam M, Kamnitsas K, Koch L et al.},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={13542 LNCS},
  pages={v-vi},
  year = "2022"
}

Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores

Li Z, Kamnitsas K, Islam M, Chen C & Glocker B (2022), 13437, 693-703

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@inproceedings{estimatingmodel-2022/,
  title={Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores},
  author={Li Z, Kamnitsas K, Islam M, Chen C & Glocker B},
  pages={693-703},
  year = "2022"
}

Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: a CENTER-TBI study

Whitehouse DP, Monteiro M, Czeiter E, Vyvere TV, Valerio F et al. (2021), EBioMedicine, 75

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@article{relationshipofa-2021/12,
  title={Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: a CENTER-TBI study},
  author={Whitehouse DP, Monteiro M, Czeiter E, Vyvere TV, Valerio F et al.},
  journal={EBioMedicine},
  volume={75},
  number={103777},
  publisher={Elsevier},
  year = "2021"
}

Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations.

Huie JR, Mondello S, Lindsell CJ, Antiga L, Yuh EL et al. (2021), Journal of neurotrauma, 38(18), 2514-2529

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@article{biomarkersfortr-2021/9,
  title={Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations.},
  author={Huie JR, Mondello S, Lindsell CJ, Antiga L, Yuh EL et al.},
  journal={Journal of neurotrauma},
  volume={38},
  pages={2514-2529},
  year = "2021"
}

Transductive image segmentation: Self-training and effect of uncertainty estimation

Kamnitsas K, Winzeck S, Kornaropoulos EN, Whitehouse D, Englman C et al. (2021)

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@misc{transductiveima-2021/7,
  title={Transductive image segmentation: Self-training and effect of uncertainty estimation},
  author={Kamnitsas K, Winzeck S, Kornaropoulos EN, Whitehouse D, Englman C et al.},
  year = "2021"
}

Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift

Filbrandt G, Kamnitsas K, Bernstein D, Taylor A & Glocker B (2021)

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@misc{learningfrompar-2021/7,
  title={Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift},
  author={Filbrandt G, Kamnitsas K, Bernstein D, Taylor A & Glocker B},
  year = "2021"
}

Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis

Berger C, Paschali M, Glocker B & Kamnitsas K (2021)

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@misc{confidencebased-2021/7,
  title={Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis},
  author={Berger C, Paschali M, Glocker B & Kamnitsas K},
  year = "2021"
}

Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation

Popescu SG, Sharp DJ, Cole JH, Kamnitsas K & Glocker B (2021)

Altmetric score is
BibTeX View PDF 
@misc{distributionalg-2021/4,
  title={Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation},
  author={Popescu SG, Sharp DJ, Cole JH, Kamnitsas K & Glocker B},
  year = "2021"
}

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.

Li Z, Kamnitsas K & Glocker B (2021), IEEE transactions on medical imaging, 40(3), 1065-1077

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BibTeX View PDF 
@article{analyzingoverfi-2021/3,
  title={Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.},
  author={Li Z, Kamnitsas K & Glocker B},
  journal={IEEE transactions on medical imaging},
  volume={40},
  pages={1065-1077},
  year = "2021"
}

Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation

Li Z, Kamnitsas K & Glocker B (2021)

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@misc{analyzingoverfi-2021/2,
  title={Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation},
  author={Li Z, Kamnitsas K & Glocker B},
  year = "2021"
}

Preface dart 2021

Albarqouni S, Cardoso MJ, Dou Q, Kamnitsas K, Rieke N et al. (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12968 LNCS, v-vi

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BibTeX 
@article{prefacedart-2021/1,
  title={Preface dart 2021},
  author={Albarqouni S, Cardoso MJ, Dou Q, Kamnitsas K, Rieke N et al.},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={12968 LNCS},
  pages={v-vi},
  year = "2021"
}

Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis

Berger C, Paschali M, Glocker B & Kamnitsas K (2021), 12959, 122-132

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@inproceedings{confidencebased-2021/,
  title={Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis},
  author={Berger C, Paschali M, Glocker B & Kamnitsas K},
  pages={122-132},
  year = "2021"
}

Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation

Kamnitsas K, Winzeck S, Kornaropoulos EN, Whitehouse D, Englman C et al. (2021), 12968, 79-89

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@inproceedings{transductiveima-2021/,
  title={Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation},
  author={Kamnitsas K, Winzeck S, Kornaropoulos EN, Whitehouse D, Englman C et al.},
  pages={79-89},
  year = "2021"
}

Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift

Filbrandt G, Kamnitsas K, Bernstein D, Taylor A & Glocker B (2021), 12968, 123-132

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BibTeX View PDF 
@inproceedings{learningfrompar-2021/,
  title={Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift},
  author={Filbrandt G, Kamnitsas K, Bernstein D, Taylor A & Glocker B},
  pages={123-132},
  year = "2021"
}

Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation

Popescu SG, Sharp DJ, Cole JH, Kamnitsas K & Glocker B (2021), 12729, 415-427

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@inproceedings{distributionalg-2021/,
  title={Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation},
  author={Popescu SG, Sharp DJ, Cole JH, Kamnitsas K & Glocker B},
  pages={415-427},
  year = "2021"
}

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data.

Mitchell JR, Kamnitsas K, Singleton KW, Whitmire SA, Clark-Swanson KR et al. (2020), Journal of medical imaging (Bellingham, Wash.), 7(5), 055501

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BibTeX View PDF 
@article{deepneuralnetwo-2020/9,
  title={Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data.},
  author={Mitchell JR, Kamnitsas K, Singleton KW, Whitmire SA, Clark-Swanson KR et al.},
  journal={Journal of medical imaging (Bellingham, Wash.)},
  volume={7},
  pages={055501},
  year = "2020"
}

Relationship between Measures of Cerebrovascular Reactivity and Intracranial Lesion Progression in Acute Traumatic Brain Injury Patients: A CENTER-TBI Study.

Mathieu F, Zeiler FA, Ercole A, Monteiro M, Kamnitsas K et al. (2020), Journal of neurotrauma, 37(13), 1556-1565

Altmetric score is
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@article{relationshipbet-2020/7,
  title={Relationship between Measures of Cerebrovascular Reactivity and Intracranial Lesion Progression in Acute Traumatic Brain Injury Patients: A CENTER-TBI Study.},
  author={Mathieu F, Zeiler FA, Ercole A, Monteiro M, Kamnitsas K et al.},
  journal={Journal of neurotrauma},
  volume={37},
  pages={1556-1565},
  year = "2020"
}

Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study.

Monteiro M, Newcombe VFJ, Mathieu F, Adatia K, Kamnitsas K et al. (2020), The Lancet. Digital health, 2(6), e314-e322

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@article{multiclassseman-2020/6,
  title={Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study.},
  author={Monteiro M, Newcombe VFJ, Mathieu F, Adatia K, Kamnitsas K et al.},
  journal={The Lancet. Digital health},
  volume={2},
  pages={e314-e322},
  year = "2020"
}

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.

Biffi C, Cerrolaza JJ, Tarroni G, Bai W, de Marvao A et al. (2020), IEEE transactions on medical imaging, 39(6), 2088-2099

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@article{explainableanat-2020/6,
  title={Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.},
  author={Biffi C, Cerrolaza JJ, Tarroni G, Bai W, de Marvao A et al.},
  journal={IEEE transactions on medical imaging},
  volume={39},
  pages={2088-2099},
  year = "2020"
}

Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks

Robinson R, Dou Q, Castro DC, Kamnitsas K, de Groot M et al. (2020)

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BibTeX View PDF 
@misc{imagelevelharmo-2020/6,
  title={Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks},
  author={Robinson R, Dou Q, Castro DC, Kamnitsas K, de Groot M et al.},
  year = "2020"
}

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty

Monteiro M, Folgoc LL, de Castro DC, Pawlowski N, Marques B et al. (2020)

Altmetric score is
BibTeX View PDF 
@misc{stochasticsegme-2020/6,
  title={Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty},
  author={Monteiro M, Folgoc LL, de Castro DC, Pawlowski N, Marques B et al.},
  year = "2020"
}

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling

Fetit AE, Alansary A, Cordero-Grande L, Cupitt J, Davidson AB et al. (2020), Proceedings of Machine Learning Research, 121, 241-261

Altmetric score is
BibTeX 
@inproceedings{adeeplearningap-2020/1,
  title={A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling},
  author={Fetit AE, Alansary A, Cordero-Grande L, Cupitt J, Davidson AB et al.},
  pages={241-261},
  year = "2020"
}

Stochastic segmentation networks: Modelling spatially correlated aleatoric uncertainty

Monteiro M, Le Folgoc L, de Castro DC, Pawlowski N, Marques B et al. (2020), Advances in Neural Information Processing Systems, 2020-December

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BibTeX 
@inproceedings{stochasticsegme-2020/1,
  title={Stochastic segmentation networks: Modelling spatially correlated aleatoric uncertainty},
  author={Monteiro M, Le Folgoc L, de Castro DC, Pawlowski N, Marques B et al.},
  year = "2020"
}

Preface dart 2020

Albarqouni S, Cardoso MJ, Kamnitsas K, Milletari F, Rieke N et al. (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12444 LNCS, v-vi

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BibTeX 
@article{prefacedart-2020/1,
  title={Preface dart 2020},
  author={Albarqouni S, Cardoso MJ, Kamnitsas K, Milletari F, Rieke N et al.},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={12444 LNCS},
  pages={v-vi},
  year = "2020"
}

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks

Robinson R, Dou Q, Coelho de Castro D, Kamnitsas K, de Groot M et al. (2020), 12267, 710-719

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@inproceedings{imagelevelharmo-2020/,
  title={Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks},
  author={Robinson R, Dou Q, Coelho de Castro D, Kamnitsas K, de Groot M et al.},
  pages={710-719},
  year = "2020"
}
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