In recent years there has been an increased thrust to understand and quantify the complex information conveyed by medical images. Developing modern computational techniques that offer the potential for extracting diverse and complex information from imaging data and applying these to a plethora of clinical studies is crucial. These techniques not only support precise quantification but also overcome the limitations of subjective visual interpretation. Furthermore, these methods can facilitate finding specific markers that relate to pathologies as well as aid in treatment planning.
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An Energy Efficient and DPA Attack Resilient NCFET-Based S-Box Design for Secure and Lightweight SLIM Ciphers Authors: Koteswara Rao Penumalli, Venkateswarlu Gonuguntla *, Ramesh Vaddi *...
Phase evolution in AgSbS2 thin films synthesized via a two-stage process Authors :YB Kishore Kumar,Athipalli Divya,Radhalayam Dhanalakshm ,Mohamed Ouladsmane, Sambasivam Sangaraju*,Venkateswarlu Gonuguntla...
Learning disentangled representations for unpaired synthesis of high-resolution dynamic MRI Authors: Claire Scavinner-Dorval*, Rodolphe Bailly, Bhushan Borotikar, Sylvain Brochard, Douraied Ben Salem, François Rousseau...
Statistical shape model-based automatic evaluation and validation of anatomical measures on healthy femur shapes from limited field of view imaging Authors:Jasper Kwasny*, Cynthia Fantini Pagani, Uwe G Kersting, Bhushan Borotikar...
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