Solution of the Electroencephalography Forward Problem Using MFEM - Workshop 2022
Explore high-order mathematical calculations for EEG source localization using MFEM. Learn to solve the EEG forward problem with patient-specific geometry and tissue conductivity from medical images.
Underspecification Presents Challenges for Credibility in Modern Machine Learning - Paper Explained
Explores underspecification in ML pipelines, where models with similar training performance behave differently in real-world deployment, leading to instability and poor outcomes across various domains.
Quantifying Lung Structure in COPD and Solubility of Chemical Compounds
Explore topological data analysis applications in medicine and chemistry, focusing on lung structure in COPD and chemical compound solubility using persistent homology as a key tool.
Kubernetes and AI in Cancer Diagnosis and Treatment
Explore how distributed Kubernetes clusters and AI revolutionize cancer diagnosis, combining computational biology with cloud computing for faster, more precise treatments.
Tower of Babel - Making Apache Spark, Kubeflow, and Kubernetes Play Nice
Explore how Apache Spark, Kubeflow, and Kubernetes can work together to process big data matrices, denoise medical images, and create reproducible ML pipelines for COVID research and healthcare applications.
The Future of Reproducible Research - Powered by Kubeflow
Explore the future of reproducible research using Kubeflow, an open-source platform that streamlines data science workflows and enhances scientific collaboration through easily shareable and replicable pipelines.
Use of Big Data Analytics in Healthcare Research by Rajiv Raman
Explore how big data analytics revolutionizes healthcare research, enhancing patient outcomes and driving medical advancements through innovative data-driven approaches.
Garbh-Ini Project - Machine Learning for Maternal and Child Health
Explore machine learning applications in healthcare through the Garbh-Ini Project, focusing on predicting outcomes, analyzing medical data, and bridging the gap between computational modeling and clinical practice.
Beyond the Lab: Opportunities and Skills for a Successful Career - Exploring Post-Graduate Pathways
Explore post-graduate career paths in academia, healthcare, and industry. Gain insights on choosing and preparing for diverse opportunities beyond traditional lab work.
Towards Digital Twins for Precision Medicine
Explore digital twins in precision medicine, covering virtual trials, theranostics, AI, data management, and future prospects in personalized healthcare.
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Explore gauge equivariant CNNs on manifolds, focusing on icosahedral surfaces. Learn how this approach improves image segmentation and climate pattern analysis with enhanced efficiency and performance.
Computing Optimal Homotopies
Explore optimal curve similarity measures using homotopy-based approaches, examining structural properties, algorithms, and open questions in topology and computational geometry.
Computing Optimal Homotopies
Explore curve similarity measures and homotopy-based deformations in GIS, medical imaging, and graphics. Survey geometric and topological metrics, algorithms, and open questions in optimal homotopy computation.
Foundations of Deep Learning and AI: Instabilities, Limitations, and Potential
Exploring deep learning's instability, AI limitations, and potential impacts on scientific computing and medical imaging. Compares AI's current state to early 20th-century mathematics, predicting similar foundational challenges.
Artifact Suppression in X-ray CT Images - SIAM-IS Virtual Seminar
Explore X-ray CT imaging, artifact suppression techniques, and recent advancements in metal and scattering artifact reduction for improved medical and industrial applications.
The Calderon Problem: 40 Years Later - Seminar in the Analysis and Methods of PDE
Explore Calderon's inverse problem, its applications in medical imaging and geophysics, recent developments, and open questions with expert Gunther Uhlmann in this insightful seminar.
Numerical Analysis for Cervical Cancer Using Stochastic Levenberg-Marquardt Backpropagated Technique
Explore advanced neural network techniques for cervical cancer analysis, focusing on the Stochastic Levenberg-Marquardt Backpropagated method and its applications in oncology research.
The Miracle of Tomography - Rothschild Lecture
Explore the diverse applications and mathematical techniques of tomography, from medical imaging to geophysics, with Professor Peter Kuchment's comprehensive overview of this fascinating field.
Predictive Oncology Through Image-Based Mathematical Modeling
Explore image-based mathematical modeling for predictive oncology. Gain insights into cutting-edge techniques for cancer prognosis and treatment planning with Dr. Tom Yankeelov.
Creating 3D Art from Brain Scans Using Blender
Learn to transform a brain scan into stunning 3D art using Blender. Explore techniques for cleaning, rendering, material work, and adding intricate details to create a unique and visually striking piece.
Art as Medicine - The Science Behind Arts and Health
Explore the scientific evidence behind art's impact on health and well-being, and learn how integrating arts into healthcare can lead to innovative treatments and improved outcomes.