Division of Informatics, Imaging & Data Sciences

Zheng, J., Ge, J., BG, F., Lin, H., Ebsim, R., Lindner, C., Cootes, T., Li, J., JH, T., Gao, X. & Wang, S., 25 Jan 2024, Cold Spring Harbor Laboratory Press, (medRxiv).

Research output: Preprint/Working paper › Preprint

Gs-ema: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation

Lin, F., Xia, Y., MacRaild, M., Deo, Y., Dou, H., Liu, Q., Cheng, N., Ravikumar, N. & Frangi, A. F., 23 Feb 2024.

Research output: Preprint/Working paper › Preprint

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Interventions to reduce opioid use for patients with chronic non-cancer pain in primary care settings: a systematic review and meta-analysis

Cai, Q., Grigoroglou, C., Allen, T., Chen, T.-C., Chen, L.-C. & Kontopantelis, E., 18 Mar 2024, (E-pub ahead of print) Cold Spring Harbor Laboratory Press, (medRxiv).

Research output: Preprint/Working paper › Preprint

Open Access

Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification

Nabavi, S., Hamedani, K. A., Moghaddam, M. E., Abin, A. A. & Frangi, A. F., 17 Mar 2024.

Research output: Preprint/Working paper › Preprint

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Predicting risk of cardiovascular disease using retinal OCT imaging

Maldonado-Garcia, C., Bonazzola, R., Ferrante, E., Julian, T. H., Sergouniotis, P. I., Ravikumara, N. & Frangi, A. F., 26 Mar 2024.

Research output: Preprint/Working paper › Preprint

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Proceedings Virtual Imaging Trials in Medicine 2024

Abadi, E., Badano, A., Bakic, P., Bliznakova, K., Bosmans, H., Carton, A.-K., Frangi, A., Glick, S., Kinahan, P., Lo, J., Maidment, A., Ria, F., Samei, E., Sechopoulos, I., Segars, P., Tanaka, R. & Vancoillie, L., 8 May 2024, Cornell University, 255 p. (ArXiv).

Research output: Preprint/Working paper › Preprint

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Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference

Jiang, X., Georgaka, S., Rattray, M. & Alvarez, M., 2024, arXiv.org.

Research output: Preprint/Working paper › Preprint

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Statistical Distance-Guided Unsupervised Domain Adaptation for Automated Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment

Nabavi, S., Hamedani, K. A., Moghaddam, M. E., Abin, A. A. & Frangi, A. F., 31 Aug 2024.

Research output: Preprint/Working paper › Preprint

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11 Downloads (Pure)

Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning

Lin, F., Xia, Y., MacRaild, M., Deo, Y., Dou, H., Liu, Q., Wu, K., Ravikumar, N. & Frangi, A. F., 23 Feb 2024.

Research output: Preprint/Working paper › Preprint

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32 Downloads (Pure)

Viris: Simulating indoor airborne transmission combining architectural design and people movement

Xue, Y., Jabi, W., Woolley, T. E. & Kaouri, K., 21 Aug 2024.

Research output: Preprint/Working paper › Preprint

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2023

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

Dou, H., Ravikumar, N. & Frangi, A. F., 26 Jun 2023.

Research output: Preprint/Working paper › Preprint

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163 Downloads (Pure)

Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels

Lin, F., Xia, Y., Ravikumar, N., Liu, Q., MacRaild, M. & Frangi, A. F., 7 Aug 2023.

Research output: Preprint/Working paper › Preprint

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43 Downloads (Pure)

A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images

Nabavi, S., Simchi, H., Moghaddam, M. E., Abin, A. A. & Frangi, A. F., 23 Mar 2023.

Research output: Preprint/Working paper › Preprint

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Conducting a systematic review and evaluation of commercially available mobile applications (apps) on a health-related topic: the TECH approach and a step-by-step methodological guide

Gasteiger, N., Dowding, D., Norman, G., McGarrigle PhD, L., Eost-Telling, C., Jones, D., Vercell, A., Ali, S. M. & O'Connor, S., 6 Mar 2023, Research Square.

Research output: Preprint/Working paper › Preprint

Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections

Fahmi, A., Palin, V., Zhong, X., Yang, Y.-T., Watts, S., Ashcroft, D. M., Goldacre, B., Mackenna, B., Fisher, L., Massey, J., Mehrkar, A., Bacon, S., Hand, K. & Staa, T. P. V., 18 Jul 2023, Cold Spring Harbor Laboratory Press, (medRxiv).

Research output: Preprint/Working paper › Preprint

Open Access

From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee

Aviyente, S., Frangi, A., Meijering, E., Muñoz-Barrutia, A., Liebling, M., Ville, D. V. D., Olivo-Marin, J.-C., Kovačević, J. & Unser, M., Jan 2023, arXiv, p. 1-21, 21 p.

Research output: Preprint/Working paper › Preprint

15 Downloads (Pure)

Future-ai: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Lekadir, K., Feragen, A., Fofanah, A. J., Frangi, A. F., Buyx, A., Emelie, A., Lara, A., Porras, A. R., Chan, A.-W., Navarro, A., Glocker, B., Botwe, B. O., Khanal, B., Beger, B., Wu, C. C., Cintas, C., Langlotz, C. P., Rueckert, D., Mzurikwao, D. & Fotiadis, D. I. & 98 others, Zhussupov, D., Ferrante, E., Meijering, E., Weicken, E., González, F. A., Asselbergs, F. W., Prior, F., Krestin, G. P., Collins, G., Tegenaw, G. S., Kaissis, G., Misuraca, G., Tsakou, G., Dwivedi, G., Kondylakis, H., Jayakody, H., Woodruf, H. C., Aerts, H. J., Walsh, I., Chouvarda, I., Buvat, I., Rekik, I., Duncan, J., Kalpathy-Cramer, J., Zahir, J., Park, J., Mongan, J., Gichoya, J. W., Schnabel, J. A., Kushibar, K., Riklund, K., Mori, K., Marias, K., Amugongo, L. M., Fromont, L. A., Maier-Hein, L., Alberich, L. C., Rittner, L., Phiri, L., Marrakchi-Kacem, L., Donoso-Bach, L., Martí-Bonmatí, L., Cardoso, M. J., Bobowicz, M., Shabani, M., Tsiknakis, M., Zuluaga, M. A., Bielikova, M., Fritzsche, M.-C., Linguraru, M. G., Wenzel, M., Bruijne, M. D., Tolsgaard, M. G., Ghassemi, M., Ashrafuzzaman, M., Goisauf, M., Yaqub, M., Ammar, M., Abadía, M. C., Mahmoud, M. M. E., Elattar, M., Rieke, N., Papanikolaou, N., Lazrak, N., Díaz, O., Salvado, O., Pujol, O., Sall, O., Guevara, P., Gordebeke, P., Lambin, P., Brown, P., Abolmaesumi, P., Dou, Q., Lu, Q., Osuala, R., Nakasi, R., Zhou, S. K., Napel, S., Colantonio, S., Albarqouni, S., Joshi, S., Carter, S., Klein, S., Petersen, S. E., Aussó, S., Awate, S., Raviv, T. R., Cook, T., Mutsvangwa, T. E. M., Rogers, W. A., Niessen, W. J., Puig-Bosch, X., Zeng, Y., Mohammed, Y. G., Aquino, Y. S. J., Salahuddin, Z. & Starmans, M. P. A., 11 Aug 2023.

Research output: Preprint/Working paper › Preprint

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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., 26 Jun 2023.

Research output: Preprint/Working paper › Preprint

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59 Downloads (Pure)

Learned Local Attention Maps for Synthesising Vessel Segmentations

Deo, Y., Bonazzola, R., Dou, H., Xia, Y., Wei, T., Ravikumar, N., Frangi, A. F. & Lassila, T., 24 Aug 2023.

Research output: Preprint/Working paper › Preprint

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Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI

Gaggion, N., Matheson, B. A., Xia, Y., Bonazzola, R., Ravikumar, N., Taylor, Z. A., Milone, D. H., Frangi, A. F. & Ferrante, E., 22 Nov 2023.

Research output: Preprint/Working paper › Preprint

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41 Downloads (Pure)

Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature

Deo, Y., Dou, H., Ravikumar, N., Frangi, A. F. & Lassila, T., 13 Aug 2023.

Research output: Preprint/Working paper › Preprint

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171 Downloads (Pure)

Stokes flows in a two-dimensional bifurcation

Xue, Y., Payne, S. J. & Waters, S. L., 20 Sept 2023.

Research output: Preprint/Working paper › Preprint

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14 Downloads (Pure)

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology

Bonazzola, R., Ferrante, E., Ravikumar, N., Xia, Y., Keavney, B., Plein, S., Syeda-Mahmood, T. & Frangi, A. F., 7 Jan 2023.

Research output: Preprint/Working paper › Preprint

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105 Downloads (Pure)

2022

Additive Gaussian Processes Revisited

Lu, X., Boukouvalas, A. & Hensman, J., 20 Jun 2022.

Research output: Preprint/Working paper › Preprint

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A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras

Dou, H., Virtanen, S., Ravikumar, N. & Frangi, A. F., 4 Oct 2022.

Research output: Preprint/Working paper › Preprint

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A Generative Shape Compositional Framework to Synthesise Populations of Virtual Chimaeras

Dou, H., Virtanen, S., Ravikumar, N. & Frangi, A. F., 4 Oct 2022.

Research output: Preprint/Working paper › Preprint

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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., 1 Jul 2022.

Research output: Preprint/Working paper › Preprint

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Automatic assessment of mammographic density using a deep transfer learning method

Squires, S., Harkness, E., Evans, D. G. & Astley, S. M., 2 Sept 2022, (medRxiv).

Research output: Preprint/Working paper › Preprint

Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems

Zhou, H. & Pan, W., 1 Jun 2022.

Research output: Preprint/Working paper › Preprint

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60 Downloads (Pure)

Fully Automated Assessment of Cardiac Coverage in Cine Cardiovascular Magnetic Resonance Images using an Explainable Deep Visual Salient Region Detection Model

Nabavi, S., Hashemi, M., Moghaddam, M. E., Abin, A. A. & Frangi, A. F., 14 Jun 2022.

Research output: Preprint/Working paper › Preprint

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How do dataset characteristics affect the performance of propensity score methods and regression for controlling confounding in observational studies? A simulation study

Wilkinson, J., Mamas, M. A. & Kontopantelis, E., 24 Mar 2022.

Research output: Preprint/Working paper › Preprint

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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. F., Yap, P.-T. & Huang, Y., 30 Jun 2022.

Research output: Preprint/Working paper › Preprint

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Physics-informed Deep Learning for Musculoskeletal Modelling: Predicting Muscle Forces and Joint Kinematics from Surface EMG

Zhang, J., Zhao, Y., Shone, F., Li, Z., Frangi, A. F., Xie, S. & Zhang, Z., 4 Jul 2022.

Research output: Preprint/Working paper › Preprint

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2021

AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo

Jin, Y., Pepe, A., Li, J., Gsaxner, C., Zhao, F.-H., Pomykala, K. L., Kleesiek, J., Frangi, A. F. & Egger, J., 6 Aug 2021.

Research output: Preprint/Working paper › Preprint

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101 Downloads (Pure)

Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains

Nabavi, S., Simchi, H., Moghaddam, M. E., Frangi, A. F. & Abin, A. A., 13 Dec 2021.

Research output: Preprint/Working paper › Preprint

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21 Downloads (Pure)

CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning

Chen, X., Xia, Y., Ravikumar, N. & Frangi, A. F., 11 Jun 2021.

Research output: Preprint/Working paper › Preprint

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EpiBeds: Data informed modelling of the COVID-19 hospital burden in England

Overton, C. E., Pellis, L., Stage, H. B., Scarabel, F., Burton, J., Fraser, C., Hall, I., House, T. A., Jewell, C., Nurtay, A., Pagani, F. & Lythgoe, K. A., 12 Oct 2021, arXiv.org, p. 1-25, 35 p.

Research output: Preprint/Working paper › Preprint

Open Access

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