1 code implementation • 2 Dec 2023 • Sarah Cechnicka, Hadrien Reynaud, James Ball, Naomi Simmonds, Catherine Horsfield, Andrew Smith, Candice Roufosse, Bernhard Kainz
Diagnoses from histopathology images rely on information from both high and low resolutions of Whole Slide Images.
1 code implementation • 23 Oct 2023 • Sandrine Bédard, Naga Karthik Enamundram, Charidimos Tsagkas, Emanuele Pravatà, Cristina Granziera, Andrew Smith, Kenneth Arnold Weber II, Julien Cohen-Adad
Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or neurodegenerative diseases such as multiple sclerosis.
no code implementations • 25 Feb 2022 • Andrew Black, Andrew Smith, Alun Lloyd, Joshua Ross
We introduce a stochastic household model for vector-borne diseases, in particular as relevant to prominent vectors belonging to the Aedes genus and hence the Zika, chikungunya, and dengue viruses.
no code implementations • 4 Nov 2021 • Andrew Smith, Hardik Anand, Snezana Milosavljevic, Katherine M. Rentschler, Ana Pocivavsek, Homayoun Valafar
Here we have shown the potential of various machine learning classifiers to automatically, accurately, and reliably classify vigilance states based on a single EEG reading and a single EMG reading.
no code implementations • 13 Jun 2018 • Evangelos B. Mazomenos, Kamakshi Bansal, Bruce Martin, Andrew Smith, Susan Wright, Danail Stoyanov
Transoesophageal echocardiography (TEE) is a valuable diagnostic and monitoring imaging modality.
no code implementations • 5 May 2018 • Ebrahim Karami, Mohamed Shehata, Andrew Smith
Medical research suggests that the anterior-posterior (AP)-diameter of the inferior vena cava (IVC) and its associated temporal variation as imaged by bedside ultrasound is useful in guiding fluid resuscitation of the critically-ill patient.
no code implementations • 19 Mar 2018 • Ebrahim Karami, Mohamed Shehata, Andrew Smith
Detection of relative changes in circulating blood volume is important to guide resuscitation and manage a variety of medical conditions including sepsis, trauma, dialysis and congestive heart failure.
no code implementations • 7 Oct 2017 • Ebrahim Karami, Mohamed Shehata, Andrew Smith
Image identification is one of the most challenging tasks in different areas of computer vision.