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Research Outputs

  1. 2020
  2. Solis Lemus, JA, Sanchez Sanchez, BJ, Marcotti, S, Burki, ZM, Stramer, BM & Reyes-Aldasoro, CC 2020, Comparison of Interactions Between Control and Mutant Macrophages. in Y Zheng, BM Williams & K Chen (eds), Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings: ommunications in Computer and Information Science. vol. 1065, Communications in Computer and Information Science, vol. 1065 CCIS, Springer, Cham, pp. 470-477. https://doi.org/10.1007/978-3-030-39343-4_40
  3. Abdollahyan, M, Smeraldi, F, Patel, R & Bessant, C 2020, Investigating Comorbidity of Mental and Physical Disorders in Online Health Forums. in N Petkov, N Strisciuglio & CM Travieso-Gonzalez (eds), Proceedings of APPIS 2020 - 3rd International Conference on Applications of Intelligent Systems., 3378195, ACM International Conference Proceeding Series, Association for Computing Machinery (ACM). https://doi.org/10.1145/3378184.3378195
  4. 2019
  5. Zimmer, VAM, Gomez Herrero, A, Skelton, ES, Toussaint, NA, Zhang, T, Khanal, B, Wright, R, Noh, Y, Ho, AEP, Matthew, J, Hajnal, JV & Schnabel, JA 2019, Towards whole placenta segmentation at late gestation using multi-view ultrasound images. in D Shen, P-T Yap, T Liu, TM Peters, A Khan, LH Staib, C Essert & S Zhou (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. vol. 11768, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11768 LNCS, pp. 628-636. https://doi.org/10.1007/978-3-030-32254-0_70
  6. Even Mendoza, K, Hyyvarinen, A, Chockler, H & Sharygina, N 2019, Lattice-based SMT for Program Verification. in MEMOCODE 2019 - 17th ACM-IEEE International Conference on Formal Methods and Models for System Design: 17th ACM-IEEE International Conference on Formal Methods and Models for System Design., A16, ACM. https://doi.org/10.1145/3359986.3361214
  7. Zhang, G, Weinberg, P, Dunsby, C, Tang, MX, Harput, S, Toulemonde, M, Broughton-Venner, J, Zhu, J, Riemer, K, Christensen-Jeffries, K, Brown, J & Eckersley, RJ 2019, Acoustic Wave Sparsely-Activated Localization Microscopy (AWSALM): In Vivo Fast Ultrasound Super-Resolution Imaging using Nanodroplets. in 2019 IEEE International Ultrasonics Symposium, IUS 2019. vol. 2019-October, 8926069, IEEE Computer Society, pp. 1930-1933, 2019 IEEE International Ultrasonics Symposium, IUS 2019, Glasgow, United Kingdom, 6/10/2019. https://doi.org/10.1109/ULTSYM.2019.8926069
  8. Harput, S, Zhang, G, Toulemonde, M, Zhu, J, Christensen-Jeffries, K, Brown, J, Eckersley, RJ, Dunsby, C & Tang, MX 2019, Activation and 3D Imaging of Phase-change Nanodroplet Contrast Agents with a 2D Ultrasound Probe. in 2019 IEEE International Ultrasonics Symposium, IUS 2019. vol. 2019-October, 8925892, IEEE Computer Society, pp. 2275-2278, 2019 IEEE International Ultrasonics Symposium, IUS 2019, Glasgow, United Kingdom, 6/10/2019. https://doi.org/10.1109/ULTSYM.2019.8925892
  9. Christensen-Jeffries, K, Peralta, L, Reinwald, M, Hajnal, JV & Eckersley, RJ 2019, Coherent Multi-Transducer Ultrasound Imaging with Microbubble Contrast Agents. in 2019 IEEE International Ultrasonics Symposium, IUS 2019. vol. 2019-October, 8926265, IEEE Computer Society, pp. 2310-2312, 2019 IEEE International Ultrasonics Symposium, IUS 2019, Glasgow, United Kingdom, 6/10/2019. https://doi.org/10.1109/ULTSYM.2019.8926265
  10. Zhang, G, Harput, S, Zhu, J, Christensen-Jeffries, K, Brown, J, Leow, CH, Dunsby, C, Eckersley, RJ & Tang, MX 2019, Minimization of Nanodroplet Activation Time using Focused-Pulses for Droplet-Based Ultrasound Super-Resolution Imaging. in 2019 IEEE International Ultrasonics Symposium, IUS 2019. vol. 2019-October, 8926067, IEEE Computer Society, pp. 372-375, 2019 IEEE International Ultrasonics Symposium, IUS 2019, Glasgow, United Kingdom, 6/10/2019. https://doi.org/10.1109/ULTSYM.2019.8926067
  11. Baker, C, Sarno, D, Eckersley, R, Hodnett, M & Zeqiri, B 2019, Phase-Insensitive Ultrasound Tomography of the Attenuation of Breast Phantoms. in 2019 IEEE International Ultrasonics Symposium, IUS 2019. vol. 2019-October, 8925930, IEEE Computer Society, pp. 1219-1222, 2019 IEEE International Ultrasonics Symposium, IUS 2019, Glasgow, United Kingdom, 6/10/2019. https://doi.org/10.1109/ULTSYM.2019.8925930
  12. Harput, S, Grisan, E, Dunsby, C, Tang, MX, Fong, LH, Stanziola, A, Zhang, G, Toulemonde, M, Zhu, J, Christensen-Jeffries, K, Brown, J & Eckersley, RJ 2019, Super-Resolution Ultrasound Image Filtering with Machine-Learning to Reduce the Localization Error. in 2019 IEEE International Ultrasonics Symposium, IUS 2019. vol. 2019-October, 8925861, IEEE Computer Society, pp. 2118-2121, 2019 IEEE International Ultrasonics Symposium, IUS 2019, Glasgow, United Kingdom, 6/10/2019. https://doi.org/10.1109/ULTSYM.2019.8925861
  13. Ranjan, Y, Folarin, A, Stewart, CL, Conde, MPG, Dobson, RJB & Rashid, Z 2019, Challenges & solutions in a hybrid mHealth mobile app. in UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers (UbiComp/ISWC ’19 Adjunct), ACM, pp. 183-186, Adjunct Proceedings of the 2019 ACM International
    Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers , London, United Kingdom, 9/07/2019. https://doi.org/10.1145/3341162.3343778
  14. Serafino, P, Ventre, C, Tran-thanh, L, Zhang, J, An, B & Jennings, N 2019, Social Cost Guarantees in Smart Route Guidance. in AC Nayak & A Sharma (eds), Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings., Chapter 37, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11671 LNAI, pp. 482-495. https://doi.org/10.1007/978-3-030-29911-8_37
  15. Molteni, E, Colombo, K, Beretta, E, Galbiati, S, Santos Canas, LD, Modat, M & Strazzer, S 2019, Comparison of Multi-class Machine Learning Methods for the Identification of Factors Most Predictive of Prognosis in Neurobehavioral assessment of Pediatric Severe Disorder of Consciousness through LOCFAS scale. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8856880, Institute of Electrical and Electronics Engineers Inc., pp. 269-272, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 23/07/2019. https://doi.org/10.1109/EMBC.2019.8856880
  16. Xing, H, Cui, J, Deng, Y & Nallanathan, A 2019, Energy-Efficient Proactive Caching for Fog Computing with Correlated Task Arrivals. in 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019. vol. 2019-July, 8815493, Institute of Electrical and Electronics Engineers Inc., 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, Cannes, France, 2/07/2019. https://doi.org/10.1109/SPAWC.2019.8815493
  17. Sunny, AI, Rahman, M, Koutsoupidou, M, Cano-Garcia, H, Thanou, M, Rafique, W, Lipscombe, O, Kassanos, P, Triantis, I, Kallos, E & Kosmas, P 2019, Feasibility Experiments to Detect Skin Hydration Using a Bio-Impedance Sensor. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8857470, Institute of Electrical and Electronics Engineers Inc., pp. 6032-6035, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 23/07/2019. https://doi.org/10.1109/EMBC.2019.8857470
  18. Gomez, A, Schmitz, C, Henningsson, M, Housden, J, Noh, Y, Zimmer, VA, Clough, JR, Oksuz, I, Toussaint, N, King, AP & Schnabel, JA 2019, Mechanically Powered Motion Imaging Phantoms: Proof of Concept. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8856577, Institute of Electrical and Electronics Engineers Inc., pp. 2723-2726, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 23/07/2019. https://doi.org/10.1109/EMBC.2019.8856577
  19. Benjamin Koh, JH, Jeong, T, Han, S, Li, W, Rhode, K & Noh, Y 2019, Optoelectronic Sensor-based Shape Sensing Approach for Flexible Manipulators. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8856882, Institute of Electrical and Electronics Engineers Inc., pp. 3199-3203, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 23/07/2019. https://doi.org/10.1109/EMBC.2019.8856882
  20. Cui, J, Khan, MB, Deng, Y, Ding, Z & Nailanathan, A 2019, Unsupervised Learning Approaches for User Clustering in NOMA enabled Aerial SWIPT Networks. in 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019. vol. 2019-July, 8815399, Institute of Electrical and Electronics Engineers Inc., 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, Cannes, France, 2/07/2019. https://doi.org/10.1109/SPAWC.2019.8815399
  21. Alzamel, M, Crochemore, M, Iliopoulos, CS, Kociumaka, T, Radoszewski, J, Rytter, W, Straszynski, J, Walen, T & Zuba, W 2019, Quasi-Linear-Time Algorithm for Longest Common Circular Factor. in N Pisanti & SP Pissis (eds), 30th Annual Symposium on Combinatorial Pattern Matching, CPM 2019. vol. 128, LIPIcs, pp. 25:1–25:14. https://doi.org/10.4230/LIPIcs.CPM.2019.25
  22. Le Folgoc, L, Castro, DC, Tan, J, Khanal, B, Kamnitsas, K, Walker, I, Alansary, A & Glocker, B 2019, Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. in S Bao, JC Gee, PA Yushkevich & ACS Chung (eds), Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings., Chapter 17, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11492 LNCS, pp. 221-234. https://doi.org/10.1007/978-3-030-20351-1_17
  23. Slator, PJ, Hutter, J, Marinescu, RV, Palombo, M, Young, AL, Jackson, LH, Ho, A, Chappell, LC, Rutherford, M, Hajnal, JV & Alexander, DC 2019, InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. in S Bao, JC Gee, PA Yushkevich & ACS Chung (eds), Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings., Chapter 59, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11492 LNCS, pp. 755-766. https://doi.org/10.1007/978-3-030-20351-1_59
  24. Alsobhi, W & Aghvami, A-H 2019, QoS-Aware Resource Allocation of Two-tier HetNet: A Q-learning Approach. in 2019 26th International Conference on Telecommunications, ICT 2019., 8798829, IEEE Communications Society, pp. 330-334. https://doi.org/10.1109/ICT.2019.8798829
  25. Monaci, S, Nordsletten, D & Aslanidi, O 2019, Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation. in J Zhao, M Sermesant, A Young, K Rhode, S Li, K McLeod, M Pop & T Mansi (eds), Lecture Notes in Computer Science: International Workshop on Statistical Atlases and Computational Models of the Heart 2018. vol. 11395, Springer‐Verlag Berlin Heidelberg, pp. 103-113. https://doi.org/10.1007/978-3-030-12029-0_12
  26. Booth, TC 2019, An Update on Machine Learning in Neuro-Oncology Diagnostics. in A Crimi, T van Walsum, H Kuijf, M Reyes, S Bakas & F Keyvan (eds), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. vol. 11383, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11383 LNCS, Springer, Cham, pp. 37-44. https://doi.org/10.1007/978-3-030-11723-8_4
  27. Hütel, M, Antonelli, M, Ekanayake, J, Ourselin, S & Melbourne, A 2019, Hemodynamic matrix factorization for functional magnetic resonance imaging. in MD Schirmer, AW Chung, A Venkataraman, I Rekik & M Kim (eds), Connectomics in NeuroImaging - 3rd International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11848 LNCS, SPRINGER, pp. 117-125, 3rd International Workshop on Connectomics in NeuroImaging, CNI 2019 held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019, Shenzhen, China, 13/10/2019. https://doi.org/10.1007/978-3-030-32391-2_12
  28. Xia, W 2019, Wall-less vascular poly (vinyl) alcohol gel ultrasound imaging phantoms using 3D printed vessels. in G Vargas, R Liang, TJ Pfefer & J Hwang (eds), Design and Quality for Biomedical Technologies XII. vol. 10870, 108700P, SPIE. https://doi.org/10.1117/12.2510033
  29. Celiktutan, O & Demiris, Y 2019, Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environments. in L Leal-Taixé & S Roth (eds), Computer Vision – ECCV 2018 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11134 LNCS, pp. 193-209. https://doi.org/10.1007/978-3-030-11024-6_13
  30. Hadwen-Bennett, A & Economou, D 2019, Adaptive Hypermedia Driven Serious Game Design and Cognitive Style in School Settings: An Exploratory Study. in D Beck, A Peña-Rios, T Ogle, D Economou, M Mentzelopoulos, L Morgado, C Eckhardt, J Pirker, C Gütl, R Koitz-Hristov, J Richter & M Gardner (eds), Immersive Learning Research Network - 5th International Conference, iLRN 2019, Proceedings. vol. 1044, Communications in Computer and Information Science, vol. 1044, pp. 144-157. https://doi.org/10.1007/978-3-030-23089-0_11
  31. Dal Toso, L, Pfaehler, E, Boellaard, R, Schnabel, JA & Marsden, PK 2019, Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors. in F Knoll, A Maier, D Rueckert & JC Ye (eds), Machine Learning for Medical Image Reconstruction - 2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings. vol. 11905, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11905 LNCS, Springer, Cham, Switzerland, pp. 181-192. https://doi.org/10.1007/978-3-030-33843-5_17
  32. Mountaser, G, Mahlouji, M & Mahmoodi, T 2019, Latency Bounds of Packet-Based Fronthaul for Cloud-RAN with Functionality Split. in 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings. vol. 2019-May, 8761906. https://doi.org/10.1109/ICC.2019.8761906
  33. Bragman, FJS, Tanno, R, Ourselin, S, Alexander, DC & Cardoso, MJ 2019, Learning task-specific and shared representations in medical imaging. in D Shen, P-T Yap, T Liu, TM Peters, A Khan, LH Staib, C Essert & S Zhou (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11767 LNCS, SPRINGER, pp. 374-383, 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, Shenzhen, China, 13/10/2019. https://doi.org/10.1007/978-3-030-32251-9_41
  34. Guo, Z, Ahsan, SN, Karadima, O, Sotiriou, J & Kosmas, P 2019, Resolution Capabilities of the DBIM-TwIST Algorithm in Microwave Imaging. in 13th European Conference on Antennas and Propagation, EuCAP 2019., 8739478.
  35. Pendlebury, F, Pierazzi, F, Jordaney, R, Kinder, J & Cavallaro, L 2019, TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. in Proceedings of the 28th USENIX Security Symposium. pp. 729-746.
  36. 2018
  37. Prompalit, S, Fruhwirth, G, Rhode, K & Noh, Y 2018, Development of Non-Contact Device Based on Optical Fibre Technology for Detecting Respiration of Small Animal in Imaging Instruments. in 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings. vol. 2018-October, 8589570, Institute of Electrical and Electronics Engineers Inc., 17th IEEE SENSORS Conference, SENSORS 2018, New Delhi, India, 28/10/2018. https://doi.org/10.1109/ICSENS.2018.8589570
  38. Osman, D, Fruhwirth, G, Rhode, K & Noh, Y 2018, Development of a Respiration Monitor Based on Fibre Optics CCD Camera for Small Animal Preclinical Imaging. in 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings. vol. 2018-October, 8589828, Institute of Electrical and Electronics Engineers Inc., 17th IEEE SENSORS Conference, SENSORS 2018, New Delhi, India, 28/10/2018. https://doi.org/10.1109/ICSENS.2018.8589828
  39. Rahman, M, Ahsan, S, Lahri, R, Thanou, M & Kosmas, P 2018, Preliminary Assessment of a Microwave System to Detect Contrast Enhancing Agents. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. vol. 2018-July, 8512313, Institute of Electrical and Electronics Engineers Inc., pp. 937-940, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, United States, 18/07/2018. https://doi.org/10.1109/EMBC.2018.8512313
  40. Gokcesu, K, Ergeneci, M, Ertan, E, Alkilani, AZ & Kosmas, P 2018, An sEMG-based method to adaptively reject the effect of contraction on spectral analysis for fatigue tracking. in ISWC 2018 - Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, pp. 80-87, 22nd International Symposium on Wearable Computers, ISWC 2018, Singapore, Singapore, 8/10/2018. https://doi.org/10.1145/3267242.3267292
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