Biomedical Image Analysis
A Deep Learning Approach to Visualize Aortic Aneurysm Morphology Without the Use of Intravenous Contrast Agents.
Chandrashekar A,  Handa A,  Lapolla P,  Shivakumar N,  Uberoi R,  Grau V,  Lee R,  et al. (2023)
Correction: Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients.
Ryou H,  Sirinukunwattana K,  Aberdeen A,  Grindstaff G,  Stolz BJ,  Byrne H,  Harrington HA,  Sousos N,  Godfrey AL,  Harrison CN,  Psaila B,  Mead AJ,  Rees G,  Turner GDH,  Rittscher J,  Royston D,  et al. (2023)
A multi-centre polyp detection and segmentation dataset for generalisability assessment
Ali S,  Jha D,  Ghatwary N,  Realdon S,  Cannizzaro R,  Salem OE,  Lamarque D,  Daul C,  Riegler MA,  Anonsen KV,  Petlund A,  Halvorsen P,  Rittscher J,  de Lange T,  East JE,  et al. (2023)
Acute changes in myocardial tissue characteristics during hospitalization in patients with COVID-19
Shanmuganathan M,  Kotronias RA,  Burrage MK,  Ng Y,  Banerjee A,  Xie C,  Fletcher A,  Manley P,  Borlotti A,  Emfietzoglou M,  Mentzer AJ,  Marin F,  Raman B,  Tunnicliffe EM,  et al. (2023)
Machine learning for accurate estimation of fetal gestational age based on ultrasound images
Lee LH,  Bradburn E,  Craik R,  Yaqub M,  Norris SA,  Ismail LC,  Ohuma EO,  Barros FC,  Lambert A,  Carvalho M,  Jaffer YA,  Gravett M,  Purwar M,  Wu Q,  Bertino E,  Munim S,  Min AM,  Bhutta Z,  Villar J,  Kennedy SH,  Noble JA,  Papageorghiou AT,  et al. (2023)
Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M,  McGowan DR,  Belcher E,  Di Chiara F,  Stavroulias D,  McCole M,  Derham JL,  Chu K-Y,  Teoh E,  Chauhan J,  O’Reilly D,  Harris BHL,  Macklin PS,  Bull JA,  Green M,  Rodriguez-Berriguete G,  Prevo R,  Folkes LK,  Campo L,  Ferencz P,  Croal PL,  Flight H,  Qi C,  Holmes J,  O’Connor JPB,  Gleeson FV,  McKenna WG,  Harris AL,  Bulte D,  Buffa FM,  Macpherson RE,  Higgins GS,  et al. (2023)
Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M,  McGowan DR,  Belcher E,  Di Chiara F,  Stavroulias D,  McCole M,  Derham JL,  Chu K-Y,  Teoh E,  Chauhan J,  O’Reilly D,  Harris BHL,  Macklin PS,  Bull JA,  Green M,  Rodriguez-Berriguete G,  Prevo R,  Folkes LK,  Campo L,  Ferencz P,  Croal PL,  Flight H,  Qi C,  Holmes J,  O’Connor JPB,  Gleeson FV,  McKenna WG,  Harris AL,  Bulte D,  Buffa FM,  Macpherson RE,  Higgins GS,  et al. (2023)
Supplementary Methods from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M,  McGowan DR,  Belcher E,  Di Chiara F,  Stavroulias D,  McCole M,  Derham JL,  Chu K-Y,  Teoh E,  Chauhan J,  O’Reilly D,  Harris BHL,  Macklin PS,  Bull JA,  Green M,  Rodriguez-Berriguete G,  Prevo R,  Folkes LK,  Campo L,  Ferencz P,  Croal PL,  Flight H,  Qi C,  Holmes J,  O’Connor JPB,  Gleeson FV,  McKenna WG,  Harris AL,  Bulte D,  Buffa FM,  Macpherson RE,  Higgins GS,  et al. (2023)
Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M,  McGowan DR,  Belcher E,  Di Chiara F,  Stavroulias D,  McCole M,  Derham JL,  Chu K-Y,  Teoh E,  Chauhan J,  O’Reilly D,  Harris BHL,  Macklin PS,  Bull JA,  Green M,  Rodriguez-Berriguete G,  Prevo R,  Folkes LK,  Campo L,  Ferencz P,  Croal PL,  Flight H,  Qi C,  Holmes J,  O’Connor JPB,  Gleeson FV,  McKenna WG,  Harris AL,  Bulte D,  Buffa FM,  Macpherson RE,  Higgins GS,  et al. (2023)
Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M,  McGowan DR,  Belcher E,  Di Chiara F,  Stavroulias D,  McCole M,  Derham JL,  Chu K-Y,  Teoh E,  Chauhan J,  O’Reilly D,  Harris BHL,  Macklin PS,  Bull JA,  Green M,  Rodriguez-Berriguete G,  Prevo R,  Folkes LK,  Campo L,  Ferencz P,  Croal PL,  Flight H,  Qi C,  Holmes J,  O’Connor JPB,  Gleeson FV,  McKenna WG,  Harris AL,  Bulte D,  Buffa FM,  Macpherson RE,  Higgins GS,  et al. (2023)
Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M,  McGowan DR,  Belcher E,  Di Chiara F,  Stavroulias D,  McCole M,  Derham JL,  Chu K-Y,  Teoh E,  Chauhan J,  O’Reilly D,  Harris BHL,  Macklin PS,  Bull JA,  Green M,  Rodriguez-Berriguete G,  Prevo R,  Folkes LK,  Campo L,  Ferencz P,  Croal PL,  Flight H,  Qi C,  Holmes J,  O’Connor JPB,  Gleeson FV,  McKenna WG,  Harris AL,  Bulte D,  Buffa FM,  Macpherson RE,  Higgins GS,  et al. (2023)
Supplementary Methods from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M,  McGowan DR,  Belcher E,  Di Chiara F,  Stavroulias D,  McCole M,  Derham JL,  Chu K-Y,  Teoh E,  Chauhan J,  O’Reilly D,  Harris BHL,  Macklin PS,  Bull JA,  Green M,  Rodriguez-Berriguete G,  Prevo R,  Folkes LK,  Campo L,  Ferencz P,  Croal PL,  Flight H,  Qi C,  Holmes J,  O’Connor JPB,  Gleeson FV,  McKenna WG,  Harris AL,  Bulte D,  Buffa FM,  Macpherson RE,  Higgins GS,  et al. (2023)
Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M,  McGowan DR,  Belcher E,  Di Chiara F,  Stavroulias D,  McCole M,  Derham JL,  Chu K-Y,  Teoh E,  Chauhan J,  O’Reilly D,  Harris BHL,  Macklin PS,  Bull JA,  Green M,  Rodriguez-Berriguete G,  Prevo R,  Folkes LK,  Campo L,  Ferencz P,  Croal PL,  Flight H,  Qi C,  Holmes J,  O’Connor JPB,  Gleeson FV,  McKenna WG,  Harris AL,  Bulte D,  Buffa FM,  Macpherson RE,  Higgins GS,  et al. (2023)
3D shape-based myocardial infarction prediction using point cloud classification networks
Beetz M,  Yang Y,  Banerjee A,  Li L,  Grau V,  et al. ()
Influence of myocardial infarction on QRS properties: a simulation study
Li L,  Camps J,  Wang Z,  Banerjee A,  Rodriguez B,  Grau V,  et al. (2023)
Deep learning segmentation of the right ventricle in cardiac MRI: the M&Ms challenge
Martin-Isla C,  Campello VM,  Izquierdo C,  Kushibar K,  Sendra-Balcells C,  Gkontra P,  Sojoudi A,  Fulton MJ,  Arega TW,  Punithakumar K,  Li L,  Sun X,  Al Khalil Y,  Liu D,  Jabbar S,  Queiros S,  Galati F,  Mazher M,  Gao Z,  Beetz M,  Tautz L,  Galazis C,  Varela M,  Hullebrand M,  Grau V,  et al. (2023)
Multi-modality cardiac image computing: a survey
Li L,  Ding W,  Huang L,  Zhuang X,  Grau V,  et al. (2023)
CNSEG-GAN: a lightweight generative adversarial network for segmentation of CRL and NT from first-trimester fetal ultrasound
Sarker M,  Yasrab R,  Alsharid M,  Papageorghiou A,  Noble J,  et al. ()
Densely Attentional Network for first trimester fetal ultrasound video automated CRL and NT segmentation
Gridach M,  Yasrab R,  Drukker L,  Papageorghiou A,  Noble J,  et al. ()
Automated description and workflow analysis of fetal echocardiography in first-trimester ultrasound video scans
Yasrab R,  Alsharid M,  Sarker M,  Zhao H,  Papageorghiou A,  Noble J,  et al. ()
Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning
Men Q,  Teng C,  Drukker L,  Noble JA,  Papageorghiou AT,  et al. (2023)
Variability between human experts and artificial intelligence in identification of anatomical structures by ultrasound in regional anaesthesia: a framework for evaluation of assistive artificial intelligence
Bowness JS,  Morse R,  Lewis O,  Lloyd J,  Burckett-St Laurent D,  Bellew B,  Macfarlane A,  Pawa A,  Taylor A,  Noble JA,  Higham H,  et al. (2023)
International consensus on anatomical structures to identify on ultrasound for the performance of basic blocks in ultrasound-guided regional anesthesia.
Bowness JS,  Pawa A,  Turbitt L,  Bellew B,  Bedforth N,  Burckett-St Laurent D,  Delbos A,  Elkassabany N,  Ferry J,  Fox B,  French JLH,  Grant C,  Gupta A,  Harrop-Griffiths W,  Haslam N,  Higham H,  Hogg R,  Johnston DF,  Kearns RJ,  Kopp S,  Lobo C,  Lobo C,  McKinlay S,  Memtsoudis S,  Merjavy P,  Moka E,  Narayanan M,  Narouze S,  Noble JA,  Phillips D,  Rosenblatt M,  Sadler A,  Sebastian MP,  Taylor A,  Thottungal A,  Valdés-Vilches LF,  Volk T,  West S,  Wolmarans M,  Womack J,  Macfarlane AJR,  et al. (2022)
Understanding and improving risk assessment after myocardial infarction using automated left ventricular shape analysis
Corral Acero J,  Schuster A,  Zacur E,  Lange T,  Stiermaier T,  Backhaus SJ,  Thiele H,  Bueno Orovio A,  Lamata P,  Eitel I,  Grau Colomer V,  et al. (2022)
Predicting 3D cardiac deformations with point cloud autoencoders
Beetz M,  Ossenberg-Engels J,  Banerjee A,  Grau V,  et al. (2022)
Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia.
Bowness JS,  El-Boghdadly K,  Woodworth G,  Noble JA,  Higham H,  Burckett-St Laurent D,  et al. (2022)
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples
Martin NG,  Malacrino S,  Wojciechowska M,  Campo L,  Jones H,  Wedge DC,  Holmes C,  Sirinukunwattana K,  Sailem H,  Verrill C,  Rittscher J,  et al. (2022)