Prof Alejandro F Frangi, FREng FIEEE

Bicentennial Turing Chair in Computational Medicine, Royal Academy Chair in Computational Medicine, Director, The Christabel Pankhurst Institute, Lead, NIHR Manchester Biomedical Research Centre, Digital Infrastructure

  • Rm G530, Stopford Building, Oxford Road, University of Manchester

    M13 9PL Manchester

    United Kingdom

  • Rm G21, Kilburn Building, Oxford Road, University of Manchester

    M13 9PL Manchester

    United Kingdom

Accepting PhD Students

PhD projects

I am currently running an extensive research programme funded by the Royal Academy of Engineering and the European Research Council on in silico trials of medical products, with a focus on cardiovascular imaging and implants. This area is where novel engineering and computer science methods meet regulatory policy.
I am looking for highly motivated and academically outstanding prospective PhD students and postdocs with interdisciplinary interests and backgrounds on: machine learning, artificial intelligence, computational mechanics, and computational fluid dynamics. I value solid computer science, biomedical engineering, physics, and mathematics training. Contact me with your CV. Check out the Supervisory Information below for what I seek.

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  • 2024

    Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels

    Lin, F., Xia, Y., Ravikumar, N., Liu, Q., MacRaild, M. & Frangi, A. F., 27 Apr 2024, Data Augmentation, Labelling, and Imperfections - 3rd MICCAI Workshop, DALI 2023 Held in Conjunction with MICCAI 2023, Proceedings. Xue, Y., Chen, C., Chen, C., Zuo, L. & Liu, Y. (eds.). Springer Nature, p. 106-116 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14379 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries

    Deo, Y., Lin, F., Dou, H., Cheng, N., Ravikumar, N., Frangi, A. F. & Lassila, T., 22 Aug 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society , (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction

    Maldonado-Garcia, C., Zakeri, A., Frangi, A. F. & Ravikumar, N., 18 Oct 2024, Lecture Notes in Computer Science: International Workshop on PRedictive Intelligence In MEdicine. Springer Nature, Vol. 15155.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    4 Downloads (Pure)
  • Pathologist-Like Explanations Unveiled: An Explainable Deep Learning System for White Blood Cell Classification

    Pal, A. S., Biswas, D., Mahapatra, J., Banerjee, D., Chakrabarti, P., Frangi, A. F. & Garain, U., 22 Aug 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society , (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Simultaneous Super-Resolution and Denoising on MRI via Conditional Stochastic Normalizing Flow

    Liu, Z., Wang, X., Wu, Z., Zhu, Y. C. & Frangi, A. F., 18 Jan 2024, Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023. Jiang, X., Wang, H., Alhajj, R., Hu, X., Engel, F., Mahmud, M., Pisanti, N., Cui, X. & Song, H. (eds.). IEEE, p. 1313-1318 6 p. (Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    15 Downloads (Pure)
  • Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model

    Cheng, N., Liu, Z., Deo, Y., Dou, H., Bi, N., Wu, K., Lin, F., Taylor, Z. A., Ravikumar, N. & Frangi, A. F., 22 Aug 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society , (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Vector-Aware Anisotropic Gauge Equivariant Mesh Convolution Network for 3D Aneurysm Detection

    Ru, X., Zhao, H., Wang, X., Wu, Z., Liu, S., Zhu, Y. C. & Frangi, A. F., 7 Jun 2024, ICMR 2024 - Proceedings of the 2024 International Conference on Multimedia Retrieval. Association for Computing Machinery, p. 248-256 9 p. (ICMR 2024 - Proceedings of the 2024 International Conference on Multimedia Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2023

    A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy

    Dou, H., Ravikumar, N. & Frangi, A. F., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Nature, p. 143-152 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14226 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • A Framework for Automated Cardiovascular Magnetic Resonance Image Quality Scoring based on EuroCMR Registry Criteria

    Nabavi, S., Moghaddam, M. E., Abin, A. A. & Frangi, A. F., 27 Nov 2023, 2023 13th International Conference on Computer and Knowledge Engineering, ICCKE 2023. IEEE, p. 79-84 6 p. (2023 13th International Conference on Computer and Knowledge Engineering, ICCKE 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Deep learning with visual explanation for radiotherapy-induced toxicity prediction

    Elhaminia, B., Gilbert, A., Frangi, A. F., Scarsbrook, A., Lilley, J., Appelt, A. & Gooya, A., 2023, Medical Imaging 2023: Computer-Aided Diagnosis. Iftekharuddin, K. M. & Chen, W. (eds.). SPIE, 124651V. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12465).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI

    Shone, F., Ravikumar, N., Lassila, T., MacRaild, M., Wang, Y., Taylor, Z. A., Jimack, P., Dall’Armellina, E. & Frangi, A. F., 2023, Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, Proceedings. Frangi, A., de Bruijne, M., Wassermann, D. & Navab, N. (eds.). Springer Nature, p. 511-522 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13939 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration

    Dou, H., Bi, N., Han, L., Huang, Y., Mann, R., Yang, X., Ni, D., Ravikumar, N., Frangi, A. F. & Huang, Y., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Nature, p. 613-622 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14229 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs

    Harkness, R., Frangi, A. F., Zucker, K. & Ravikumar, N., 2023, Medical Imaging 2023: Image Processing. Colliot, O. & Isgum, I. (eds.). SPIE, 1246411. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12464).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Radiology Report Generation Using Transformers Conditioned with Non-imaging Data

    Aksoy, N., Ravikumar, N. & Frangi, A. F., 10 Apr 2023, Progress in Biomedical Optics and Imaging - Proceedings of SPIE: Imaging Informatics for Healthcare, Research, and Applications. Park, B. J. & Yoshida, H. (eds.). SPIE, 124690O. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12469).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2022

    A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging

    Cheng, N., Bonazzola, R., Ravikumar, N. & Frangi, A. F., 2022, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Yang, G., Aviles-Rivero, A., Roberts, M. & Schönlieb, C.-B. (eds.). Springer Nature, p. 482-493 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13413 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

    Zou, Y., Dou, H., Huang, Y., Yang, X., Qian, J., Zhen, C., Ji, X., Ravikumar, N., Chen, G., Huang, W., Frangi, A. F. & Ni, D., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Nature, p. 300-309 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13434 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

    Dou, H., Han, L., He, Y., Xu, J., Ravikumar, N., Mann, R., Frangi, A., Yap, P. & Huang, Y., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Nature, p. 258-267 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13434 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation

    Wei, Z., Chen, Y., Guan, Q., Hu, H., Zhou, Q., Li, Z., Xu, X., Frangi, A. F. & Chen, F., 2022, Lecture Notes in Computer Science.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Predicting Myocardial Infarction Using Retinal OCT Imaging

    Maldonado García, C., Bonazzola, R., Ravikumar, N. & Frangi, A. F., 2022, Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Proceedings. Yang, G., Aviles-Rivero, A., Roberts, M. & Schönlieb, C.-B. (eds.). Springer Nature, p. 787-797 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13413 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • The association between native myocardial T1 relaxation times and left atrial phasic structure and function: the UK Biobank Imaging Enhancement study

    Wong, M., Vargas, J. D., Naderi, H., Sanghvi, M., Raisi-Estabragh, Z., Suinesiaputra, A., Bonazzola, R., Attar, R., Ravikumar, N., Hann, E., Piechnik, S. K., Neubauer, S., Frangi, A. F., Petersen, S. E. & Aung, N., 2022, European Heart Journal.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays

    Harkness, R., Hall, G., Frangi, A. F., Ravikumar, N. & Zucker, K., 6 Jun 2022, MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics. Otero, P., Scott, P., Martin, S. Z. & Huesing, E. (eds.). IOS Press, p. 679-683 5 p. (Studies in Health Technology and Informatics; vol. 290).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2021

    A Deep Discontinuity-Preserving Image Registration Network

    Chen, X., Xia, Y., Ravikumar, N. & Frangi, A. F., 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. 46-55 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12904 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Flip Learning: Erase to Segment

    Huang, Y., Yang, X., Zou, Y., Chen, C., Wang, J., Dou, H., Ravikumar, N., Frangi, A. F., Zhou, J. & Ni, D., 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. 493-502 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/Report/Conference proceedingConference contributionpeer-review

  • Generalize ultrasound image segmentation via instant and plug play style transfer

    Liu, Z., Huang, X., Yang, X., Gao, R., Li, R., Zhang, Y., Huang, Y., Zhou, G., Xiong, Y., Frangi, A. F. & Ni, D., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society , p. 419-423 5 p. 9433930. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images

    Bonazzola, R., Ravikumar, N., Attar, R., Ferrante, E., Syeda-Mahmood, T. & Frangi, A., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. deBruijne, M., Cattin, P., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Nature, p. 699-708 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12905 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation

    Hamghalam, M., Frangi, A. F., Lei, B. & Simpson, A. L., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Nature, p. 442-452 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12907 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 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/Report/Conference proceedingConference contributionpeer-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/Report/Conference proceedingConference contributionpeer-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/Report/Conference proceedingConference contributionpeer-review

  • 2020

    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/Report/Conference proceedingConference contributionpeer-review

  • 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/Report/Conference proceedingConference contributionpeer-review

  • 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/Report/Conference proceedingConference contributionpeer-review

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    3 Downloads (Pure)
  • 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/Report/Conference proceedingConference contributionpeer-review

  • 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/Report/Conference proceedingConference contributionpeer-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/Report/Conference proceedingConference contributionpeer-review

  • 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/Report/Conference proceedingConference contributionpeer-review

  • 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/Report/Conference proceedingConference contributionpeer-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/Report/Conference proceedingConference contributionpeer-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/Report/Conference proceedingConference contributionpeer-review

  • 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/Report/Conference proceedingConference contributionpeer-review

  • 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/Report/Conference proceedingConference contributionpeer-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/Report/Conference proceedingConference contributionpeer-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/Report/Conference proceedingConference contributionpeer-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/Report/Conference proceedingConference contributionpeer-review

  • Predicting Plausible Human Purkinje Network Morphology from Simulations

    Lange, M., Lassila, T. & Frangi, A. F., 30 Dec 2019, Computing in Cardiology.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images

    Wang, C., Hayashi, Y., Oda, M., Itoh, H., Kitasaka, T., Frangi, A. F. & Mori, K., 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. 348-356 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11769 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks

    Zhang, L., 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. 660-668 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/Report/Conference proceedingConference contributionpeer-review

  • 2018

    Message from general and program chairs

    Liu, C.-L., Lee, S.-W., Yang, J., Yang, J., Makihara, Y., Tao, D.-C. & Frangi, A. F., 2018, Proceedings - 4th Asian Conference on Pattern Recognition, ACPR 2017.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI

    Zhang, L., Pereañez, M., Piechnik, S. K., Neubauer, S., Petersen, S. E. & Frangi, A. F., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Fichtinger, G., Davatzikos, C., Alberola-López, C., Frangi, A. F. & Schnabel, J. A. (eds.). Springer-Verlag Italia, p. 481-489 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11071 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Multi-modal synthesis of ASL-MRI features with KPLS regression on heterogeneous data

    Lassila, T., Faria, H. M., Sarrami-Foroushani, A., Meneghello, F., Venneri, A. & Frangi, A. F., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer-Verlag Italia, p. 473-481 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11072 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review