A Perspective Review on Numerical Simulations of Hemodynamics in Aortic Dissection by Wan Naimah Wan Ab Naim, Poo Balan Ganesan, Zhonghua Sun, Kok Han Chee, Shahrul Amry Hashim, Einly Lim

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Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification by Benjamin P. Veasey, Amir A. Amini

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Gradenigo’s Syndrome and Bacterial Meningitis in a Patient with a Petrous Apex Cholesterol Granuloma by Jacqueline Hodges, Julie Matsumoto, Nicholas Jaeger, Brian Wispelwey

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Mental wellbeing of higher education students in challenging times by Magdalena Anna Lazarewicz, Unni Karin Moksnes, Randi Johansen Reidunsdatter, Dorota Wlodarczyk

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Safety Profile of Liver FibroScan in Patients with Cardiac Pacemakers or Implantable Cardioverter-Defibrillators by Yin Chan, Stephanie Pranke, Farid Rashidi, Shravan Nosib, Lawrence Worobetz

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Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit by Su-Jin Park, Kwanhee Han, Junyoung Park, Jonghwan Min, Dufan Wu, Doil Kim, Kyutae Kang, Duhgoon Lee, Rajiv Gupta, Jinwook Jung

“…Abstract The photon-counting detector computed tomography (PCD-CT) is a promising new technology that provides more spectral information in medical imaging. PCD-CT enables bedside imaging in the neuro intensive care unit (neuro ICU) for patients with life-threatening conditions such as brain hemorrhage and ischemic stroke. …”
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Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning by A. Beena Godbin, S. Graceline Jasmine

“…Radiomics, an emerging discipline in medical imaging, focuses on extracting detailed quantitative features from images to unveil subtle patterns imperceptible to the naked eye. …”
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A Review on Covid-19 Detection Using Artificial Intelligence from Chest CT Scan Slices by Dhanshri M. Mali, S. A. Patil

“…COVID-19 has been detected using medical imaging modalities such as chest X-rays and computed tomography (CT) scans due to their non-invasive nature and accessibility. …”
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The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study by Fatimah Alhafiz, Abdullah Basuhail

“…Addressing data heterogeneity, a critical challenge in medical imaging, is essential for improving both global performance and local personalization in FL systems. …”
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Supervised contrastive pre-training models for mammography screening by Zhenjie Cao, Zhuo Deng, Zhicheng Yang, Jie Ma, Lan Ma

“…We believe this work is the first to show that supervised contrastive pre-training (SCP) followed by supervised fine-tuning (SF) can outperform the supervised counterpart on these two critical medical imaging tasks.…”
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Fetal Safety in MRI During Pregnancy: A Comprehensive Review by Gal Puris, Angela Chetrit, Eldad Katorza

“…As medical imaging continues to expand, concerns about the potential risks of ionizing radiation to the developing fetus have led to a preference for non-radiation-based alternatives such as ultrasonography and fetal MRI. …”
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A Review of Digital Pixel Sensors by Md Rahatul Islam Udoy, Shamiul Alam, Md Mazharul Islam, Akhilesh Jaiswal, Ahmedullah Aziz

“…Digital pixel sensor (DPS) has evolved as a pivotal component in modern imaging systems and has the potential to revolutionize various fields such as medical imaging, astronomy, surveillance, IoT devices, etc. …”
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An efficient hybrid model of CNNs and different kernels of SVM for brain tumor classification by Mohammed Bourennane, Hilal Naimi

“…Moreover, MRI is extensively utilized in medical imaging and image processing to identify variations in various regions of the body. …”
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Reconstruction of Fan Beam X-Ray Fluorescence Computed Tomography Based on Parallel Hole Collimator via Total Variation and Ordered Subsets by Shanghai Jiang, Le Chen, Jie Zhong, Li Ai, Hua Yang, Hong Lu

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17-Week Delay Surgery after Chemoradiation in Rectal Cancer with Complete Pathological Response by Marisa D. Santos, Manuel T. Gomes, Filipa Moreno, Anabela Rocha, Carlos Lopes

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Squeeze-and-Excitation Vision Transformer for Lung Nodule Classification by Xiaozhong Xue, Yanhe Ma, Weiwei Du, Yahui Peng

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Improving sonographic visualisation of the appendix in a regional referral hospital by Shyr Chui, Carly Phinney, Karina Hansen, Deanna Danskin

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Enhanced Brain Tumor MRI Classification Using Stationary Wavelet Transform, ResNet50V2, and LSTM Networks by Oussama Abda, Hilal NAIMI

“…This work brought forward the prospects of developing an automated, accurate, and reliable brain tumor classification system from SWT, ResNet50V2, and LSTM, whereas otherwise, it catered for needs in the enhancement of diagnostic tools in medical imaging. The method was analyzed using the Kaggle dataset and scored an amazing accuracy of 98.7%, which proved the effectiveness of the method in improving brain tumor classification. …”
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A multiscale model for glioma spread including cell-tissue interactions and proliferation by Christian Engwer, Markus Knappitsch, Christina Surulescu

“…Glioma is a broad class of brain and spinal cord tumors arising from glia cells, which are the main brain cells that can develop into neoplasms.They are highly invasive and lead to irregular tumor margins which are not precisely identifiable by medical imaging, thus rendering a precise enough resection very difficult.The understanding of glioma spread patterns is hence essential for both radiological therapy as well as surgical treatment.In this paper we propose a multiscale model for glioma growth including interactions of the cells with the underlying tissuenetwork, along with proliferative effects. …”
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Aseptic Abscesses and Inflammatory Bowel Disease: Two Cases and Review of Literature by Natasha Bollegala, Rishad Khan, Michael A. Scaffidi, Ahmed Al-Mazroui, Jenna Tessolini, Adrienne Showler, Errol Colak, Samir C. Grover

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