Search Results - "Kamnitsas, Konstantinos" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

by Oktay, Ozan, Ferrante, Enzo, Kamnitsas, Konstantinos, Heinrich, Mattias, Wenjia Bai, Caballero, Jose, Cook, Stuart A., de Marvao, Antonio, Dawes, Timothy, O'Regan, Declan P., Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel
Published in IEEE transactions on medical imaging (01.02.2018)

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Journal Article

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

by Rajchl, Martin, Lee, Matthew C. H., Oktay, Ozan, Kamnitsas, Konstantinos, Passerat-Palmbach, Jonathan, Bai, Wenjia, Damodaram, Mellisa, Rutherford, Mary A., Hajnal, Joseph V., Kainz, Bernhard, Rueckert, Daniel
Published in IEEE transactions on medical imaging (01.02.2017)

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Journal Article

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

by Valindria, Vanya V., Lavdas, Ioannis, Wenjia Bai, Kamnitsas, Konstantinos, Aboagye, Eric O., Rockall, Andrea G., Rueckert, Daniel, Glocker, Ben
Published in IEEE transactions on medical imaging (01.08.2017)

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Journal Article

Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

by Kamnitsas, Konstantinos, Koch, Lisa, Islam, Mobarakol, Xu, Ziyue, Cardoso, Jorge, Dou, Qi, Rieke, Nicola, Tsaftaris, Sotirios
Year of Publication 2022

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eBook

Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging

Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging

by Ledig, Christian, Kamnitsas, Konstantinos, Koikkalainen, Juha, Posti, Jussi P, Takala, Riikka S K, Katila, Ari, Frantzén, Janek, Ala-Seppälä, Henna, Kyllönen, Anna, Maanpää, Henna-Riikka, Tallus, Jussi, Lötjönen, Jyrki, Glocker, Ben, Tenovuo, Olli, Rueckert, Daniel
Published in PloS one (28.11.2017)

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Journal Article

Multi-channel MRI segmentation of eye structures and tumors using patient-specific features

Multi-channel MRI segmentation of eye structures and tumors using patient-specific features

by Ciller, Carlos, De Zanet, Sandro, Kamnitsas, Konstantinos, Maeder, Philippe, Glocker, Ben, Munier, Francis L, Rueckert, Daniel, Thiran, Jean-Philippe, Bach Cuadra, Meritxell, Sznitman, Raphael
Published in PloS one (28.03.2017)

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Journal Article

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

by Wang, Qian, Milletari, Fausto, Nguyen, Hien V, Albarqouni, Shadi, Cardoso, M. Jorge, Rieke, Nicola, Xu, Ziyue, Kamnitsas, Konstantinos, Patel, Vishal, Roysam, Badri
Year of Publication 2019

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eBook

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

by Baumgartner, Christian F., Kamnitsas, Konstantinos, Matthew, Jacqueline, Fletcher, Tara P., Smith, Sandra, Koch, Lisa M., Kainz, Bernhard, Rueckert, Daniel
Published in IEEE transactions on medical imaging (01.11.2017)

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Journal Article

Context Label Learning: Improving Background Class Representations in Semantic Segmentation

Context Label Learning: Improving Background Class Representations in Semantic Segmentation

by Li, Zeju, Kamnitsas, Konstantinos, Ouyang, Cheng, Chen, Chen, Glocker, Ben
Published in IEEE transactions on medical imaging (01.06.2023)

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Journal Article

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation

by Li, Zeju, Kamnitsas, Konstantinos, Glocker, Ben
Published in IEEE transactions on medical imaging (01.03.2021)

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Journal Article

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

by Kamnitsas, Konstantinos, Ledig, Christian, Newcombe, Virginia F.J., Simpson, Joanna P., Kane, Andrew D., Menon, David K., Rueckert, Daniel, Glocker, Ben
Published in Medical image analysis (01.02.2017)

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Journal Article

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks

by Kamnitsas, Konstantinos, Baumgartner, Christian, Ledig, Christian, Newcombe, Virginia, Simpson, Joanna, Kane, Andrew, Menon, David, Nori, Aditya, Criminisi, Antonio, Rueckert, Daniel, Glocker, Ben
Published in Information Processing in Medical Imaging

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Book Chapter

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

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

by Li, Zeju, Kamnitsas, Konstantinos, Dou, Qi, Qin, Chen, Glocker, Ben
Published in IEEE transactions on medical imaging (01.11.2023)

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Journal Article

Evaluating reinforcement learning agents for anatomical landmark detection

Evaluating reinforcement learning agents for anatomical landmark detection

by Alansary, Amir, Oktay, Ozan, Li, Yuanwei, Folgoc, Loic Le, Hou, Benjamin, Vaillant, Ghislain, Kamnitsas, Konstantinos, Vlontzos, Athanasios, Glocker, Ben, Kainz, Bernhard, Rueckert, Daniel
Published in Medical image analysis (01.04.2019)

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Journal Article

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

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

by Li, Zeju, Kamnitsas, Konstantinos, Islam, Mobarakol, Chen, Chen, Glocker, Ben
Published in Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

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Book Chapter

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models

by Biffi, Carlo, Cerrolaza, Juan J., Tarroni, Giacomo, Bai, Wenjia, de Marvao, Antonio, Oktay, Ozan, Ledig, Christian, Le Folgoc, Loic, Kamnitsas, Konstantinos, Doumou, Georgia, Duan, Jinming, Prasad, Sanjay K., Cook, Stuart A., O'Regan, Declan P., Rueckert, Daniel
Published in IEEE transactions on medical imaging (01.06.2020)

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Journal Article

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

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

by Monteiro, Miguel, Newcombe, Virginia F J, Mathieu, Francois, Adatia, Krishma, Kamnitsas, Konstantinos, Ferrante, Enzo, Das, Tilak, Whitehouse, Daniel, Rueckert, Daniel, Menon, David K, Glocker, Ben
Published in The Lancet. Digital health (01.06.2020)

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Journal Article

DeepMedic for Brain Tumor Segmentation

DeepMedic for Brain Tumor Segmentation

by Kamnitsas, Konstantinos, Ferrante, Enzo, Parisot, Sarah, Ledig, Christian, Nori, Aditya V., Criminisi, Antonio, Rueckert, Daniel, Glocker, Ben
Published in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

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Book Chapter

Advancing efficiency and robustness of neural networks for imaging

Advancing efficiency and robustness of neural networks for imaging

by Kamnitsas, Konstantinos
Year of Publication 2020

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Dissertation

Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach

Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach

by Lavdas, Ioannis, Glocker, Ben, Kamnitsas, Konstantinos, Rueckert, Daniel, Mair, Henrietta, Sandhu, Amandeep, Taylor, Stuart A, Aboagye, Eric O, Rockall, Andrea G
Published in Medical physics (Lancaster) (01.10.2017)

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Journal Article