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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Probabilistic Tractography-Based Tremor Network Connectivity in Tremor Dominant Parkinson's Disease and Essential Tremor plus Authors: Shweta Prasad, Archith Rajan, Madhura Ingalhalikar, Rose Dawn Bharath, Jitender Saini*, Pramod Kumar Pal*...
Utilizing YOLO Models for Real-World Scenarios: Assessing Novel Mixed Defect Detection Dataset in PCBs Authors: Vinod Kumar Ancha, Fadi N. Sibai, Venkateswarlu Gonuguntla*, Ramesh Vaddi...
Understanding phase evolution in CuSbS2 absorbers via rapid sulfurization of Cu/Sb/Cu stacks Authors: U. Chalapathi, Ch. Hemalatha, Salh Alhammadi, Golkonda Srinivas Reddy,...
Synthesis of AgBiS2 films by sulfurizing Bi/Ag stacks for thin film photovoltaics Authors:U. Chalapathi, Sambasivam Sangaraju, Y.B. Kishore Kumar, Rajesh Cheruku, P. Kondaiah, Mahimaluru Lavanya,...
Impact of stacking sequence and sulfurization duration on the growth of pyrargyrite Ag3SbS3 absorber layers Authors:U. Chalapathi, Ch. Hemalatha, Salh Alhammadi, Radhalayam Dhanalakshmi, Golkonda Srinivas Reddy,...
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