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Kit Bransby
AI-based Cardiac Image Computing, PhD Student @ QMUL
Kit Bransby is a Teaching Fellow at Queen Mary University of London (QMUL) in the School of Electronic Engineering and Computer Science.13 He is an academic staff member with a focus on teaching and research in computer science and related fields.
Academic Role
As a Teaching Fellow, Kit Bransby is involved in various aspects of education and research at QMUL:
- Thesis Supervision: He supervises thesis projects for both undergraduate (BSc) and postgraduate (MSc) students, guiding 8 BSc and 10 MSc students in their research endeavors.4
- Teaching Responsibilities: Bransby runs tutorials and delivers lectures as part of his teaching duties.4
- Research: He is actively engaged in research, with a particular interest in computer vision and medical imaging applications.
Research Contributions
Kit Bransby has made several contributions to the field of computer science:
- He has 11 research works with 5 citations to his name, indicating an active research profile.6
- His research interests include echocardiography and machine learning applications in medical imaging.
- Bransby has presented work at international conferences, such as MICCAI 2023, where he shared research on "Joint Dense-Point Representation for Contour-Aware Graph Segmentation".5
Professional Profile
Kit Bransby's professional profile showcases his expertise and skills:
- He is described as someone who "combines creativity with hard work and business sense" in his professional endeavors.2
- His email contact at QMUL is [email protected].uk.3
- Bransby's office is located in room Eng 153 at QMUL.3
Kit Bransby's work at Queen Mary University of London demonstrates his commitment to both education and cutting-edge research in computer science and related technologies.
Highlights
Excited to have a second paper accepted at MICCAI, this time for an oral presentation at the ASMUS workshop.
✨ We address the task of updating a trained echocardiography view classifier with a stream of new data from multiple sites. This is essential to avoid model drift, but challenging as the time and cost of re-training multiple times is considerable, labels vary between sites, and licensing agreements may restrict the transfer of multi-site data to a single server.
✨ We propose a class-incremental learning method which learns an expert network for each dataset, and combines all expert networks with a score fusion model. The influence of “unqualified experts” is minimised by weighting each contribution with a learnt in-distribution score.
✨ Our work is validated on six datasets from over 20 sites, demonstrating significant reductions in training time while improving view classification performance.
Big thanks to my co-authors at Ultromics: Agis Chartsias, Alberto Gomez, Woo Jin Cho Kim, Jorge Miguel Gomes de Oliveira, Arian B., Alex Thorley.
You can read the preprint here:
Very happy that our paper "BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision" has been accepted at MICCAI 2024.
We show that echocardiography view classifiers learn naive shortcuts from spurious metadata in the image background, and propose an augmentation mechanism to encourage the network to focus on the image content (heart ultrasound).
Pre-print: https://lnkd.in/eA_4vKZ8
Big thanks to my co-authors Alberto Gomez, Agis Chartsias and team at Ultromics
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Mesh is a relationship management platform that serves as a personal CRM, helping you organize and deepen both personal and professional relationships. It functions as a beautiful rolodex and CRM available on iPhone, Mac, Windows, and web, built automatically to help manage your network efficiently. Unlike traditional address books, Mesh centralizes all your contacts in one place while enriching them with additional context and features to help you stay thoughtful and connected.
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Mesh makes it much easier to stay in touch with the people you care about. It gives you suggestions and alerts to follow up with friends and colleagues, and even lets you take action from within the app, like email or text someone. Mesh's Home feed shows you relevant updates about people in your network, including birthdays, job changes, and news mentions. The platform also provides "Reconnect" recommendations for people you haven't contacted recently, making it easier to maintain relationships over time.
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Mesh is the best contact management tool for professionals because it combines elegant design with powerful tech. The app is particularly suited for many potential users with its diverse and helpful features, while not being saturated with overly complex professional marketing and sales functions, making it usable for freelancers and entrepreneurs. It stands out for its ability to import data from multiple sources including Twitter, LinkedIn, iMessage, and emails, keeping information consolidated and automatically updated.
Mesh offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Mesh's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Mesh has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Mesh is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Mesh beneficial.
Mesh offers competitive pricing in the personal CRM market. Mesh offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Mesh's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Mesh offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
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