Division of Informatics, Imaging & Data Sciences

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  • 2021

    Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

    Luo, M., Yang, X., Huang, X., Huang, Y., Zou, Y., Hu, X., Ravikumar, N., Frangi, A. F. & Ni, D., 21 Sept 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Nature, p. 201-210 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12906 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

    He, S., Lin, Z., Yang, X., Chen, C., Wang, J., Shuang, X., Deng, Z., Liu, Q., Cao, Y., Lu, X., Huang, R., Ravikumar, N., Frangi, A. F., Zhang, Y., Xiong, Y. & Ni, D., 21 Sept 2021, Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lian, C., Cao, X., Rekik, I., Xu, X. & Yan, P. (eds.). Springer Nature, p. 190-198 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12966 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Style Curriculum Learning for Robust Medical Image Segmentation

    Liu, Z., Manh, V., Yang, X., Huang, X., Lekadir, K., Campello, V., Ravikumar, N., Frangi, A. F. & Ni, D., 21 Sept 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Nature, p. 451-460 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12901 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • 2020

    Adaptive lead weighted ResNet trained with different duration signals for classifying 12-lead ECGs

    Zhao , Z., Fang, H., Relton, S. D., Yan , R., Fang , H., Liu, Y., Li, Z., Qin , J. & Wong, D., 1 Sept 2020, (Accepted/In press) Computing in Cardiology. (Computing in Cardiology).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • A hybrid machine learning approach using LBP descriptor and PCA for age-related macular degeneration classification in OCTA images

    Alfahaid, A., Morris, T., Cootes, T., Keane, P. A., Khalid, H., Pontikos, N., Sergouniotis, P. & Balaskas, K., 24 Jan 2020, Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). p. 231-241 11 p. (Communications in Computer and Information Science; vol. 1065 CCIS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Aneurysm Identification in Cerebral Models with Multiview Convolutional Neural Network

    Zhou, M., Wang, X., Wu, Z., Pozo, J. M. & Frangi, A. F., 19 May 2020, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries . p. 23–31 9 p.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • A Primary Health Care Approach for Hearing Health and its Importance in Maximising Wellbeing Across the Life-course

    Tsimpida, MSc, FHEA, D., Kontopantelis, E., Ashcroft, D. & Panagioti, M., 8 Jun 2020, Society for Academic Primary Care: Living & Dying Well 49th Annual Scientific Meeting of SAPC. https://sapc.ac.uk/doi/10.37361/asm.2020.1.1, p. 77-78 2 p. 4

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers*

    Filippou, V., Redmond, A. C., Bennion, J., Backhouse, M. R. & Wong, D., 27 Aug 2020, (E-pub ahead of print) 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, p. 4604-4607

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Contrastive Rendering for Ultrasound Image Segmentation

    Li, H., Yang, X., Liang, J., Shi, W., Chen, C., Dou, H., Li, R., Gao, R., Zhou, G., Fang, J., Liang, X., Huang, R., Frangi, A. F., Chen, Z. & Ni, D., 4 Oct 2020, Lecture Notes in Computer Science.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • DCE-MRI: Processing

    Li, K.-L., 2020, The 28th Annual Meeting of ISMRM, Invited Educational Speaker. E965

    Research output: Chapter in Book/Conference proceeding › Conference contribution

  • Detecting Perthes Disease and Investigating the Effects of Aging on Hip Shape in Children

    Davison, A., Cootes, T., Perry, D. C., Luo, W., Medical Student Annotation Collaborative & Lindner, C., 8 May 2020, (Accepted/In press) Proceedings of the Bone Research Society Annual Meeting 2020. John Wiley & Sons Ltd, (Journal of Bone & Mineral Research).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Development of a machine learning-based fully automated hip annotation system for DXA scans

    Ebsim, R., Lindner, C., Faber, B., Frysz, M., Saunders, F. R., Gregory, J. S., Aspden, R. M., Parkinson, J., Harvey, N., Tobias, J. & Cootes, T., 8 May 2020, (Accepted/In press) Proceedings of the Bone Research Society Annual Meeting 2020. John Wiley & Sons Ltd, (Journal of Bone & Mineral Research).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Downsampling wearable sensor data packets by measuring their information value

    Belmonte, M., Casson, A. & Peek, N., 2020, IEEE Sensors Conference 2019.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Efficacy and Safety of Risperidone and Paliperdone in Schizophrenia and Bipolar patients

    Hodkinson, A., Heneghan, C., Kontopantelis, E., Mahtani, K. & Panagioti, M., 30 Sept 2020, (E-pub ahead of print) 27th Cochrane Colloquium: Advances in Evidence Synthesis. Cochrane, p. 495

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Embedding skills for a new profession by teaching programming in an immersive and authentic environment: Presentation & Poster

    Hooley, F. & Freeman, P. J., 14 Jul 2020, 28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020.

    Research output: Chapter in Book/Conference proceeding › Conference contribution

  • Estimation of Cell Cycle States of Human Melanoma Cells with Quantitative Phase Imaging and Deep Learning

    Henser-brownhill, T., Ju, R. J., Haass, N. K., Stehbens, S. J., Ballestrem, C. & Cootes, T. F., 22 May 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE, p. 1617-1621

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Federated Simulation for Medical Imaging

    Li, D., Kar, A., Ravikumar, N., Frangi, A. F. & Fidler, S., 29 Sept 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Nature, p. 159-168 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12261 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease

    Song, X., Frangi, A. F., Xiao, X., Cao, J., Wang, T. & Lei, B., 4 Oct 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings: MICCAI 2020. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Nature, p. 124-133 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Probabilistic Remaining Useful Life Prediction Based on Deep Convolutional Neural Network

    Zhao, Z., Wu, J., Wong, D., Sun, C. & Yan, R., 23 Oct 2020, (E-pub ahead of print) 9th International Conference on Through-life Engineering Service. (SSRN Electronic Journal).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound

    Huang, Y., Yang, X., Li, R., Qian, J., Huang, X., Shi, W., Dou, H., Chen, C., Zhang, Y., Luo, H., Frangi, A. F., Xiong, Y. & Ni, D., 4 Oct 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Nature, p. 553-562 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12263 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis

    Cheng, N., Frangi, A. F., Zhang, Z. G., Deng, D., Zhao, L., Wang, T., Wei, Y., Yu, B., Mai, W., Duan, G., Nong, X., Li, C., Su, J. & Lei, B., 4 Oct 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Nature, p. 104-113 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Suspicious minds: effect of using a lesion likelihood score on reader behaviour with interactive mammographic CAD

    Du-Crow, E., Astley, S. & Hulleman, J., 22 May 2020, (E-pub ahead of print) 15th International Workshop on Breast Imaging (IWBI2020). 115130Y ed. SPIE, Vol. Proc. SPIE 11513.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • The sparse and low-rank interpretation of SVD-based denoising for vibration signals

    Zhao, Z., Wang, S., Wong, D., Guo, Y. & Chen, X., 2020, 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). p. 1-6

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Time series clustering to examine presence of decrement in Parkinson’s finger-tapping bradykinesia

    Zhao, Z., Fang, H., Williams, S., Relton, S. D., Alty, J., Casson, A. J. & Wong, D. C., 27 Aug 2020, (E-pub ahead of print) 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). p. 780-783

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • 2019

    3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata

    Attar, R., Pereañez, M., Bowles, C., Piechnik, S. K., Neubauer, S., Petersen, S. E. & Frangi, A. F., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P.-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Nature, p. 586-594 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11765 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Adaptive sensor placement for continuous spaces

    Grant, J. A., Boukouvalas, A., Griffiths, R. R., Leslie, D. S., Vakili, S. & Munoz de Cote, E., 2019, 36th International Conference on Machine Learning, ICML 2019: 9-15 June 2019, Long Beach, California, USA. Chaudhuri, K. & Salakhutdinov, R. (eds.). International Machine Learning Society (IMLS), Vol. 97. p. 2385-2393 9 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Automated scoring of aortic calcification in vertebral fracture assessment images

    Chaplin, L. & Cootes, T., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 1095038. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Automatic detection of wrist fractures from posteroanterior and lateral radiographs: A deep learning-based approach

    Ebsim, R., Naqvi, J. & Cootes, T. F., 2019, Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Zheng, G., Vrtovec, T., Yao, J. & Pozo, J. M. (eds.). Springer Nature, p. 114-125 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11404 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Bayesnas: A Bayesian approach for neural architecture search

    Zhou, H., Yang, M., Wang, J. & Pan, W., 2019, Proceedings of the 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 13116-13140 25 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Cluster hidden markov models: An application to ecological momentary assessment of schizophrenia

    Hulme, W., Stockton-Powdrell, C., Lewis, S., Martin, G. P., Bucci, S., Parsia, B., Casson, A., Habli, I. & Peek, N., 7 Jul 2019, Proceedings - IEEE Symposium on Computer-Based Medical Systems.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web: A Case Study of Neurotypical People vs People with Autism

    Matthews, O., Eraslan, S., Yaneva, V., Davies, A., Yesilada, Y., Vigo, M. & Harper, S., 2019, ACM Conference On User Modelling, Adaptation And Personalization: UMAP '19. 27th ed. Association for Computing Machinery, 9 p.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • CS-Net: Channel and spatial attention network for curvilinear structure segmentation

    Mou, L., Zhao, Y., Chen, L., Cheng, J., Gu, Z., Hao, H., Qi, H., Zheng, Y., Frangi, A. F. & Liu, J., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P.-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Nature, p. 721-730 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11764 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Decision Variance in Risk-Averse Online Learning

    Vakili, S., Boukouvalas, A. & Zhao, Q., Dec 2019, 2019 IEEE 58th Conference on Decision and Control, CDC 2019: 11-13 December 2019, Nice, France. New York: IEEE, p. 2738-2744 7 p. 9029461. (Proceedings of the IEEE Conference on Decision and Control; vol. 2019-December).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models

    Märtens, K., Campbell, K. & Yau, C., 2019, International Conference on Machine Learning. p. 4372-4381 10 p.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures using Multiple, Independent Sub-models

    Bromiley, P., Kariki, E. & Cootes, T., 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Belavy, D., Zheng, G., Li, S. & Cai, Y. (eds.). p. 53-65 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11397 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Evaluation of the Benefit of Partial Volume Correction for High Resolution PET Scanners

    Raptis, E., Parkes, L. M., Anton-Rodriguez, J. M., Carter, S. F., Herholz, K. & Matthews, J. C., Oct 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019. IEEE, 9059939. (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Health Informatics Education in the UK

    Moulton, G. & Taylor, P., 2019, Health Informatics Education in the UK.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort

    Attar, R., Pereañez, M., Gooya, A., Albà, X., Zhang, L., Piechnik, S. K., Neubauer, S., Petersen, S. E. & Frangi, A. F., 2019, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Pop, M., Mansi, T., Li, S., Sermesant, M., Young, A., Rhode, K., Zhao, J. & McLeod, K. (eds.). Springer-Verlag Italia, p. 114-121 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition

    Zebin, T., Balaban, E., Ozanyan, K., Casson, A. & Peek, N., 12 Sept 2019, IEEE-EMBS BHI 2019.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Improving quantification accuracy in whole brain high spatial resolution 3D kinetic mapping: Development of a novel dual temporal resolution DCE-MRI technique.

    Li, K.-L., Lewis, D., Jackson, A., Zhao, S. & Zhu, X., 2019, The 27th Scientific Meeting of the International Society for Magnetic Resonance in Medicine..

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Inferring temporal phenotypes with topological data analysis and pseudo time-series

    Dagliati, A., Geifman, N., Peek, N., Holmes, J. H., Sacchi, L., Sajjadi, S. E. & Tucker, A., 2019, Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. Wilk, S., ten Teije, A. & Riaño, D. (eds.). Springer Nature, p. 399-409 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11526 LNAI).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Intracranial aneurysm detection from 3d vascular mesh models with ensemble deep learning

    Zhou, M., Wang, X., Wu, Z., Pozo, J. M. & Frangi, A. F., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P.-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Nature, p. 243-252 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Is there a safety-net effect with computer-aided detection (CAD)?

    Du-Crow, E., Warren, L., Astley, S. M. & Hulleman, J., 2019, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment. Nishikawa, R. M. & Samuelson, F. W. (eds.). SPIE, 109520J. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10952).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets

    Zhang, L., Pereañez, M., Bowles, C., Piechnik, S., Neubauer, S., Petersen, S. & Frangi, A. F., 10 Oct 2019, MICCAI 2019: Medical Image Computing and Computer Assisted Intervention . p. 651–659 9 p.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • MixDir: Scalable bayesian clustering for high-dimensional categorical data

    Ahlmann-Eltze, C. & Yau, C., 2019, Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. Eliassi-Rad, T., Wang, W., Cattuto, C., Provost, F., Ghani, R. & Bonchi, F. (eds.). IEEE, p. 526-539 14 p. 8631438. (Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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  • Mixed-model noise removal in 3d via rotation-and-scale invariant non-local means

    Liu, X., Liu, Q., Wu, Z., Wang, X., Sole, J. P. & Frangi, A., 2019, Processing and Analysis of Biomedical Information- 1st International SIPAIM Workshop, SaMBa 2018 Held in Conjunction with MICCAI 2018, Revised Selected Papers. Lepore, N., Racoceanu, D., Brieva, J., Joskowicz, L. & Romero, E. (eds.). Springer-Verlag Italia, p. 33-41 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11379).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research

    De Vila, M. H., Attar, R., Pereanez, M. & Frangi, A. F., 21 Jan 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). IEEE, p. 1726-1733 8 p. 8621317. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI

    Coelho, S., Pozo, J. M., Jespersen, S. N. & Frangi, A. F., 10 Oct 2019, MICCAI 2019: Medical Image Computing and Computer Assisted Intervention. p. 9

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Pelvis segmentation using multi-pass U-Net and iterative shape estimation

    Wang, C., Connolly, B., de Oliveira Lopes, P. F., Frangi, A. F. & Smedby, Ö., 2019, Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Zheng, G., Vrtovec, T., Yao, J. & Pozo, J. M. (eds.). Springer-Verlag Italia, p. 49-57 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11404 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Perthes Disease Classification Using Shape and Appearance Modelling

    Davison, A., Cootes, T., Perry, D. C., Luo, W. & Lindner, C., 2019, 6th MICCAI Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging. Springer Nature, Vol. 11404 LNCS. p. 86-98 (Lecture Notes in Computer Science; vol. 11404).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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