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Items: 20

1.

Assessment of In-Meal Eating Behaviour using Fuzzy SVM.

Saraļ¬s I, Diou C, Ioakimidis I, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:6939-6942. doi: 10.1109/EMBC.2019.8857606.

PMID:
31947435
2.

Multiple-Instance Learning for In-The-Wild Parkinsonian Tremor Detection.

Papadopoulos A, Kyritsis K, Bostanjopoulou S, Klingelhoefer L, Chaudhuri RK, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:6188-6191. doi: 10.1109/EMBC.2019.8856314.

PMID:
31947256
3.

Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch.

Kyritsis K, Diou C, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:4229-4232. doi: 10.1109/EMBC.2019.8857275.

PMID:
31946802
4.

Behaviour Profiles for Evidence-based Policies Against Obesity.

Sarafis I, Diou C, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:3596-3599. doi: 10.1109/EMBC.2019.8857161.

PMID:
31946655
5.

Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning.

Papadopoulos A, Kyritsis K, Klingelhoefer L, Bostanjopoulou S, Chaudhuri KR, Delopoulos A.

IEEE J Biomed Health Inform. 2019 Dec 24. doi: 10.1109/JBHI.2019.2961748. [Epub ahead of print]

PMID:
31880570
6.

Predicting Real-Life Eating Behaviours Using Single School Lunches in Adolescents.

Langlet B, Fagerberg P, Delopoulos A, Papapanagiotou V, Diou C, Maramis C, Maglaveras N, Anvret A, Ioakimidis I.

Nutrients. 2019 Mar 20;11(3). pii: E672. doi: 10.3390/nu11030672.

7.

Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data.

Kyritsis K, Diou C, Delopoulos A.

IEEE J Biomed Health Inform. 2019 Nov;23(6):2325-2334. doi: 10.1109/JBHI.2019.2892011. Epub 2019 Jan 9.

PMID:
30629523
8.

End-to-end Learning for Measuring in-meal Eating Behavior from a Smartwatch.

Kyritsis K, Diou C, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:5511-5514. doi: 10.1109/EMBC.2018.8513627.

PMID:
30441585
9.

Personalised meal eating behaviour analysis via semi-supervised learning.

Papadopoulos A, Kyritsis K, Sarafis I, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:4768-4771. doi: 10.1109/EMBC.2018.8513174.

PMID:
30441415
10.

The SPLENDID Eating Detection Sensor: Development and Feasibility Study.

van den Boer J, van der Lee A, Zhou L, Papapanagiotou V, Diou C, Delopoulos A, Mars M.

JMIR Mhealth Uhealth. 2018 Sep 4;6(9):e170. doi: 10.2196/mhealth.9781.

11.

Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight Measurements.

Papapanagiotou V, Diou C, Ioakimidis I, Sodersten P, Delopoulos A.

IEEE J Biomed Health Inform. 2019 Mar;23(2):893-902. doi: 10.1109/JBHI.2018.2812243. Epub 2018 Mar 5.

PMID:
29993620
12.

Automated analysis of in meal eating behavior using a commercial wristband IMU sensor.

Kyritsis K, Tatli CL, Diou C, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:2843-2846. doi: 10.1109/EMBC.2017.8037449.

PMID:
29060490
13.

Chewing detection from an in-ear microphone using convolutional neural networks.

Papapanagiotou V, Diou C, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:1258-1261. doi: 10.1109/EMBC.2017.8037060.

PMID:
29060105
14.

The SPLENDID chewing detection challenge.

Papapanagiotou V, Diou C, Lingchuan Zhou, van den Boer J, Mars M, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:817-820. doi: 10.1109/EMBC.2017.8036949.

PMID:
29059997
15.

A novel approach for chewing detection based on a wearable PPG sensor.

Papapanagiotou V, Diou C, Lingchuan Zhou, van den Boer J, Mars M, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:6485-6488. doi: 10.1109/EMBC.2016.7592214.

PMID:
28269732
16.

A Novel Chewing Detection System Based on PPG, Audio, and Accelerometry.

Papapanagiotou V, Diou C, Zhou L, van den Boer J, Mars M, Delopoulos A.

IEEE J Biomed Health Inform. 2017 May;21(3):607-618. doi: 10.1109/JBHI.2016.2625271. Epub 2016 Nov 4.

PMID:
27834659
17.

A parametric Probabilistic Context-Free Grammar for food intake analysis based on continuous meal weight measurements.

Papapanagiotou V, Diou C, Langlet B, Ioakimidis I, Delopoulos A.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:7853-6. doi: 10.1109/EMBC.2015.7320212.

PMID:
26738112
18.

A computerized methodology for improved virus typing by PCR-RFLP gel electrophoresis.

Maramis CF, Delopoulos AN, Lambropoulos AF.

IEEE Trans Biomed Eng. 2011 Aug;58(8). doi: 10.1109/TBME.2011.2153202. Epub 2011 May 12.

PMID:
21571605
19.

Semantic integration of cervical cancer data repositories to facilitate multicenter association studies: the ASSIST approach.

Agorastos T, Koutkias V, Falelakis M, Lekka I, Mikos T, Delopoulos A, Mitkas PA, Tantsis A, Weyers S, Coorevits P, Kaufmann AM, Kurzeja R, Maglaveras N.

Cancer Inform. 2009 Feb 3;8:31-44.

20.

Association studies on cervical cancer facilitated by inference and semantic technologies: the assist approach.

Mitkas P, Koutkias V, Symeonidis A, Falelakis M, Diou C, Lekka I, Delopoulos A, Agorastos T, Maglaveras N.

Stud Health Technol Inform. 2008;136:241-6.

PMID:
18487738

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