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  1. Correction to: Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction

    Michael Tänzer, Pedro Ferreira, ... Sonia Nielles-Vallespin in Medical Image Understanding and Analysis
    Conference paper 2024
  2. Multi-agent Game Domain: Monopoly

    In the previous chapters we have looked at the visual domain and single-agent environments for action domains. In this chapter, we will apply the...
    T. Bonjour, M. Haliem, ... B. Bhargava in A Unifying Framework for Formal Theories of Novelty
    Chapter 2024
  3. Non-linear Regression

    In this chapter, we will refine the results of linear algorithms using nonlinear minimisation algorithms, such as LM. This is more computationally...
    Chapter 2024
  4. Contextual and Semantic Novelty in Text

    Novelty, anomaly, or out-of-distribution (OOD) detection has been an active research area for decades, since the 1960s [1, 2], due to its widespread...
    Chapter 2024
  5. Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images

    Diseases related to the prostate and distal urethra, such as prostate cancer, benign prostatic hyperplasia and urinary incontinence, may be detected...
    Kuruparan Shanmugalingam, Arcot Sowmya, ... Erik Meijering in Machine Learning in Medical Imaging
    Conference paper 2024
  6. Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers

    Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment planning, and disease monitoring. Accurate segmentation...
    Reza Azad, Amirhossein Kazerouni, ... Dorit Merhof in Machine Learning in Medical Imaging
    Conference paper 2024
  7. Multi-modal Adapter for Medical Vision-and-Language Learning

    Recently, medical vision-and-language learning has attracted great attention from biomedical communities. Thanks to the development of large...
    Zheng Yu, Yanyuan Qiao, ... Qi Wu in Machine Learning in Medical Imaging
    Conference paper 2024
  8. Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks

    Deep learning has shown significant progress in medical image analysis tasks such as semantic segmentation. However, deep learning models typically...
    Yongze Wang, Maurice Pagnucco, Yang Song in Machine Learning in Medical Imaging
    Conference paper 2024
  9. Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation

    The disparity between chronological age and estimated brain age from images is a significant indicator of abnormalities in brain development....
    Shengxian Chen, **n Zhang, ... Gang Li in Machine Learning in Medical Imaging
    Conference paper 2024
  10. Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network

    Fetal brain magnetic resonance imaging (MRI) is becoming more important for early brain assessment in prenatal examination. Fast acquisition of three...
    Yimeng Yang, Dongdong Gu, ... Dinggang Shen in Machine Learning in Medical Imaging
    Conference paper 2024
  11. Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling

    Melanoma, a dangerous type of skin cancer resulting from abnormal skin cell growth, can be treated if detected early. Various approaches using Fully...
    Sania Eskandari, Janet Lumpp, Luis Sanchez Giraldo in Machine Learning in Medical Imaging
    Conference paper 2024
  12. An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction

    Edited magnetic resonance spectroscopy (MRS) can provide localized information on gamma-aminobutyric acid (GABA) concentration in vivo. However,...
    Rodrigo Berto, Hanna Bugler, ... Ashley Harris in Machine Learning in Medical Imaging
    Conference paper 2024
  13. Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy

    Diabetic Retinopathy (DR), a leading cause of vision impairment, requires early detection and treatment. Develo** robust AI models for DR...
    Sanoojan Baliah, Fadillah A. Maani, ... Muhammad Haris Khan in Machine Learning in Medical Imaging
    Conference paper 2024
  14. Sana Solo: An Intelligent Approach to Measure Soil Fertility

    Worm castings (Worm Excretion) are one the richest natural fertilizers on earth, making earthworms a very important and applicable soil health...
    Conference paper 2024
  15. FAMID: False Alarms Mitigation in IoMT Devices

    Wearable and Implantable Medical Devices (WIMDs) and Physiological Closed-loop Control Systems (PCLCS) are crucial elements in the advancing field of...
    Shakil Mahmud, Myles Keller, ... Robert Karam in Internet of Things. Advances in Information and Communication Technology
    Conference paper 2024
  16. EHR Security and Privacy Aspects: A Systematic Review

    Electronic Health Records (EHRs) have become increasingly popular in recent years, providing a convenient way to store, manage and share relevant...
    Sourav Banerjee, Sudip Barik, ... Uttam Ghosh in Internet of Things. Advances in Information and Communication Technology
    Conference paper 2024
  17. Machine Learning-Based Multi-stratum Channel Coordinator for Resilient Internet of Space Things

    Sensing and transferring data are critical and challenging tasks for space missions, especially in the presence of extreme environments. Unlike...
    Md Tajul Islam, Sejun Song, Baek-Young Choi in Internet of Things. Advances in Information and Communication Technology
    Conference paper 2024
  18. ALBA: Novel Anomaly Location-Based Authentication in IoMT Environment Using Unsupervised ML

    Smartphones have become essential components in the Internet of Medical Things (IoMT), providing convenient interfaces and advanced technology that...
    Fawaz J. Alruwaili, Saraju P. Mohanty, Elias Kougianos in Internet of Things. Advances in Information and Communication Technology
    Conference paper 2024
  19. Simulated Annealing Based Area Optimization of Multilayer Perceptron Hardware for IoT Edge Devices

    The deployment of highly parameterized Neural Network (NN) models on resource-constrained hardware platforms such as IoT edge devices is a...
    Rajeev Joshi, Lakshmi Kavya Kalyanam, Srinivas Katkoori in Internet of Things. Advances in Information and Communication Technology
    Conference paper 2024
  20. VXorPUF: A Vedic Principles - Based Hybrid XOR Arbiter PUF for Robust Security in IoMT

    The Internet of Medical Things (IoMT) is playing a pivotal role in the healthcare sector by allowing faster and more informed hospital care,...
    Md Ishtyaq Mahmud, Pintu Kumar Sadhu, ... Ahmed Abdelgawad in Internet of Things. Advances in Information and Communication Technology
    Conference paper 2024
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