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ORCID16th BIOSTEC BIOIMAGING 2023: Lisbon, Portugal
- Katja Bühler, Ana Fred, Hugo Gamboa:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2023, Volume 2: BIOIMAGING, Lisbon, Portugal, February 16-18, 2023. SCITEPRESS 2023, ISBN 978-989-758-631-6
Invited Speakers
- Giovanni Saggio:
Towards the Virtual Human Simulator. 5-12 - Elazer Edelman:
Academia and Industry: Partners in Leveraging Engineering, Science and Medicine for Clinical Translation. BIOSTEC 2023: 13 - Mireille Hildebrandt
:
Ground-Truthing in the European Health Data Space. 15-22 - Riccardo Bellazzi:
Machine Learning Applied to Electronic Health Record Data: Opportunities and Challenges. BIOSTEC 2023: 23-24
Papers
- Andrew Mobberley, Georgios K. Papageorgiou, Mairead B. Butler, Evangelos Kanoulas, Julian Keanie, Daniel Good, Kevin Gallagher, Alan McNeil, Vassilis Sboros, Weiping Lu:
Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging. 29-40 - Emmanuel Bouilhol, Edgar Lefevre, Thierno Barry, Florian Levet, Anne Beghin, Virgile Viasnoff, Xareni Galindo, Rémi Galland, Jean-Baptiste Sibarita, Macha Nikolski:
SalienceNet: An Unsupervised Image-to-Image Translation Method for Nuclei Saliency Enhancement in Microscopy Images. 41-51 - Tirupati Saketh Chandra, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi:
Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer. 52-56 - Christian Klenk, David Elias Fresacher, Stefan Röhrl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Klaus Diepold, Stefan Holdenrieder, Oliver Hayden:
Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation. 57-65 - Stefan Röhrl, Lukas Bernhard, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold:
Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis. 69-77 - Jonas Schurr, Andreas Haghofer, Marian Fürsatz, Hannah Janout, Sylvia Nürnberger, Stephan Winkler:
In Vitro Quantification of Cellular Spheroids in Patterned Petri Dishes. 78-85 - Gabor Revy, Daniel Hadhazi, Gábor Hullám:
Automatic Spine Segmentation in CT Scans. 86-93 - Ahana Roy Choudhury, Radu Paul Mihail, Sorin Dan Chiriac:
Prediction of Thyroid Malignancy Using Contextual Semantic Interpretability from Sonograms. 94-101 - Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian, Tripti Bameta, Subhash Yadav, Rajiv Kumar Kaushal, Swapnil Rane, Amit Sethi:
EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning. 102-109 - Robertas Petrolis, Vetra Markeviciute, Sarunas Tarasevicius, Deepak Raina, Lars Lidgren, Saulius Lukosevicius, Algimantas Krisciukaitis:
Mathematical Morphology Based Volumetric Analysis of Bone Density Around Implant in Post-Operational Follow-up of Per-Trochanteric Fractures. 110-114 - Semanti Basu, Peter Bajcsy, Thomas E. Cleveland IV, Manuel J. Carrasco, R. Iris Bahar:
LipoPose: Adapting Cellpose to Lipid Nanoparticle Segmentation. 115-123 - Leah DeVos, Gennadi Saiko, Alexandre Douplik:
Skin Tone via Device-Independent Colour Space. 124-128 - Nchongmaje Ndipenoch, Alina Dana Miron, Zidong Wang, Yongmin Li:
Retinal Image Segmentation with Small Datasets. 129-137 - Sahar Almahfouz Nasser, Amit Sethi:
Simulating Ultrasound Images from CT Scans. 138-145 - Jia Li, Junling He, Jingmin Long, Chenxu Wang, Jesper Kers, Fons J. Verbeek:
Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net. 146-153
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