Alvin B. Profile

KHÁM PHÁ

5,0

(2 nhận xét)

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$8 USD / giờ

wakiso,

uganda

$8 USD / giờ

Hiện ở đây đang là 2:40 SA

Đã tham gia vào tháng 8 11, 2018

0 Khuyến nghị

Alvin B.

@kimbowaalvin

5,0

(2 nhận xét)

1,6

100%

$8 USD / giờ

wakiso,

uganda

$8 USD / giờ

100%

Công Việc Hoàn Thành

100%

Đúng Ngân Sách

100%

Đúng Thời Hạn

100%

Tỉ Lệ Thuê Lại

AI engineer | Database Management | Data Analysis

Passionate about artificial intelligence, machine learning, deep learning, data analysis, and database management. ----------------------------------------------------------------- Languages - Python, HTML, CSS, MATLAB, JavaScript, SQL Frameworks - Django, PyQt Skills - Problem-solving, critical thinking, eye to detail, result-oriented, debugging.

Xem tất cả về Python Developers tại Uganda

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Portfolio

10035227

Developed a machine-learning model for automatic detection of prostate cancer from multiparametric MRI images. This greatly reduces the inter and intra-observer variability among radiologists. It also improves the repeatability of MRI interpretation.

Automated Screening of Prostate Cancer

10035170

Developed a time-aware deep neural network for needle localization in 2D ultrasound.

Carried out medical image analysis using MATLAB. This included image subtraction and fusion.

Co-authored a research paper on needle localization in 2D ultrasound which was published in the International Journal of Computer Assited Radiology and Surgery.

Time-aware deep neural networks for needle tip localization

10035227

Automated Screening of Prostate Cancer

10035170

Time-aware deep neural networks for needle tip localization

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Hiện 1 - 2 trong số 2 nhận xét

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5,0

$30,00 USD

Project for Alvin B.

Excellent output - very satisfied

Python

AI (Artificial Intelligence) HW/SW

Data Analysis

Deep Learning

Thêm 1

Md Mehedi H.

@kingqueen369

•

2 năm trước

5,0

$30,00 USD

Python Errors

Agreed to work within short notice and delivered the work.

Software Architecture

Md Mehedi H.

@kingqueen369

•

2 năm trước

Kinh nghiệm

MARCONI Machine Learning Laboratory - Makerere University

thg 3 2022 - Hiện tại

Collected, cleaned, analyzed, and visualized time-series data from solar PV systems. Developing, training, and validating machine learning-based power output prediction models for a solar PV mini-grid in Keras and TensorFlow. Simulating a solar PV minigrid in MATLAB. Designing a dashboard that displays the meteorological data including; ambient temperature, and solar irradiance.

Optimal Design Laboratory - University of Michigan

thg 9 2021 - Hiện tại

Member of a virtual team that is developing, debugging and improving an Integrated Natural Resource Conservation and Development (INRCD) system in MATLAB. This system will aid farmers in decision-making on how to efficiently maximize profit. Installed a weather station in Mubende, Uganda to collect weather data for area under study. Cleaned, analyzed and visualized the data using MATLAB.

Computer Aided Detections and Interventions Laboratory - Makerere University

thg 8 2020 - Hiện tại

Developing a machine learning algorithm that automatically screens for prostate cancer from multiparametric MRI sequences. Developed a time-aware deep neural network for needle localization in 2D ultrasound. Carried out medical image analysis using MATLAB. This included image subtraction and fusion. Co-authored a research paper on needle localization in 2D ultrasound which was published in the International Journal of Computer Assited Radiology and Surgery.

Học vấn

Bachelor of Science in Electrical Engineering

Makerere University,

Uganda

2018 - 2022

(4 năm)

Bằng cấp

University of Toronto

2020

Learned how to work in virtual teams and virtual collaboration. Gained skills in virtual communication, and how to run effective virtual meetings. Learned how to speak and present in a virtual context.

DeepLearning.AI

2020

Tackled real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. Built network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learned how to make them better with strategies such as Dropout, BatchNorm, and Xavier/He initialization.

University of Washington

2020

Gained applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. Learned to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Nội dung đã đăng

Time-aware deep neural networks for needle tip localization in 2D ultrasound

Springer

Accurate placement of the needle is critical in interventions like biopsies and regional anesthesia, where incorrect needle insertion can lead to procedure failure and complications. Ultrasound guidance is widely used to improve needle placement accuracy. However, at steep and deep insertions, the visibility of the needle is lost. Computational methods for automatic needle tip localization could improve the clinical success rate in these scenarios. https://doi.org/10.1007/s11548-021-02361-w