Division of Informatics, Imaging & Data Sciences

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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-review

Open Access

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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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-review

Open Access

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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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-review

2023

A Comparison of LSTM and GRU Networks for Learning Symbolic Sequences

Cahuantzi , R., Güttel, S. & Chen, X., 20 Aug 2023, Intelligent Computing. Springer Nature Switzerland AG, p. 771 785 p.

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

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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-review

Dependency of proton MR spectroscopy neuro-metabolite concentrations on grey matter fraction and location in the healthy human brain.

Goncalves, A. J., Matthews, J., Haroon, H., Parkes, L., Asselin, M.-C. & Williams, S. R., 19 May 2023, Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM).

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

Limitations of Automated Segmentation Tools for Breast Tissue in Young Women Treated with Radiotherapy to the Chest

Chamberlin, H., Henderson, E., Cowan, R., Anandadas, C., Hague, C., Wilson, F., Radford, J., Howell, S., Astley, S., Aznar, M. & Osorio, E. V., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society , (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).

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

Multi-echo fMRS: probing the dual compartment model for Glutamate

Emeliyanova, P., Parkes, L., Williams, S. R. & Lea-Carnall, C., 7 Sept 2023, fMRS Symposium.

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

Multi-echo functional MRS Glutamate measurements in visual cortex at 3T

Emeliyanova, P., Parkes, L., Williams, S. R. & Lea-Carnall, C., 1 Mar 2023, Annual meeting of the International Society for Magnetic Resonance in Medicine (ISMRM).

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

Outlier detection of vital sign trajectories from COVID-19 patients

Summerton, S., Tivey, A., Shotton, R., Brown, G., Redfern, O. C., Oakley, R., Radford, J. & Wong, D. C., 11 Dec 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings. IEEE, Vol. 2023. p. 1-4 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Ebsim, R., Faber, B., Saunders, F., Frysz, M., Gregory, J. S., Harvey, N. C., Tobias, J. H., Lindner, C. & Cootes, T., 16 Sept 2022, Springer's Lecture Notes in Computer Science. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Vol. 13435. p. 3-12 (Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Lecture Notes in Computer Science; vol. 2).

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

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Automation of clinical measurements on radiographs of children's hips

Thompson, P., Medical Annotation Collaborative, Perry, D. C., Cootes, T. & Lindner, C., 2022, Springer Lecture Notes in Computer Science. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Nature, Vol. 13433. p. 419-428 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13433 LNCS).

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

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Improving cerebral blood flow measurements from dynamic [15O]H2O PET study using complementary frame reconstruction and isotope-specific resolution modelling

Goncalves, A., Krokos, G., Jones, O., Xia, Y., Djoukhadar, I., Jackson, A., Matthews, J., Anton-Rodriguez, J. & Asselin, M., 22 Sept 2022, European Journal of Nuclear Medicine and Molecular Imaging. SUPPL 1 ed. Vol. 49. p. S164-S164 1 p. (European Journal of Nuclear Medicine and Molecular Imaging).

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

Investigating Glutamate T2 relaxation time

Emeliyanova, P., Parkes, L., Williams, S. R. & Lea-Carnall, C., 22 Aug 2022, ISMRM Workshop: MRS 2022: Overcoming Barriers to Clinical Use.

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

KidneyCloud: A Clinically-Codesigned Solution to Support Kidney Services with Assessing Patients for Transplantation

Sharma, V., Foster, S., Whelan, P., Antrobus, S., Augustine, T., Ainsworth, J. & Van Der Veer, S. N., 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. 877-881 5 p. (Studies in Health Technology and Informatics; vol. 290).

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

Open Access

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/Conference proceeding › Conference contribution › peer-review

OA08 Development of an automated deep learning-based system for distinguishing between ‘systemic sclerosis' and ‘normal'capillaries

Gurunath Bharathi, P., 2022, OA08 Development of an automated deep learning-based system for distinguishing between ‘systemic sclerosis' and ‘normal'capillaries.

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

Open Access

Online learning in SNNs with e-prop and Neuromorphic Hardware

Perrett, A., Summerton, S., Gait, A. & Rhodes, O., 3 May 2022, Proceedings of the 2022 Annual Neuro-Inspired Computational Elements Conference, NICE 2022. Okandan, M. & Aimone, J. B. (eds.). New York, NY: Association for Computing Machinery, p. 32-39 8 p. (ACM International Conference Proceeding Series).

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

P117 Nailfold capillaroscopy: a survey of current UK practice and ‘next steps’ to facilitate generalised uptake

Gurunath Bharathi, P., 2022, P117 Nailfold capillaroscopy: a survey of current UK practice and ‘next steps’ to facilitate generalised uptake.

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

Open Access

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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-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/Conference proceeding › Conference contribution › peer-review

Open Access

Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features

Summerton, S., Wood, D., Murphy, D., Redfern, O., Benatan, M., Kaisti, M. & Wong, D. C., 15 Aug 2022, (Accepted/In press) Computing in Cardiology 2022.

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

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/Conference proceeding › Conference contribution › peer-review

A pain recording system based on mobile health technology for cancer patients in a home setting: A user-centred design

Abahussin, A. A., West, R. M., Allsop, M. J., Wong, D. C. & Ziegler, L. E., 12 Mar 2021, 2020 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, p. 1-10

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

Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis

Fahmi, A., MacBrayne, A., Kyrimi, E., McLachlan, S., Humby, F., Marsh, W. & Pitzalis, C., 12 Mar 2021, 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020. 9374327. (2020 IEEE International Conference on Healthcare Informatics, ICHI 2020).

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

Differential alterations in tumoral and extra-tumoral cerebral blood flow in grades III and IV glioma patients using quantitative [15O]H2O PET

Goncalves, A. J., Alotaibi, M., Carlin, A., Chen, Y., Wong, C., Djoukhadar, I., Krokos, G., Jackson, A., Coope, D. & Asselin, M.-C., 24 Sept 2021, European Journal of Nuclear Medicine and Molecular Imaging. Vol. 48(Suppl 1).

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

Perfusion heterogeneity in extra-tumoural brain in grades III and IV glioma measured using radiolabelled water

Goncalves, A. J., Alotaibi, M., Carlin, A., Chen, Y., Wong, C., Djoukhadar, I., Krokos, G., Jackson, A., Coope, D. & Asselin, M.-C., Nov 2021, NRM 2021 Abstract Booklet. Journal of Cerebral Blood Flow and Metabolism. Vol. 41(Suppl 1).

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

Division of Informatics, Imaging & Data Sciences

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