Publications by authors named "R K Sai Subrahmanyam Gorthi"

Article Synopsis
  • Cranial implants are used to repair skull defects from surgeries and typically take a long time to produce, but the AutoImplant II challenge seeks to automate this process for faster availability during surgery.
  • The challenge builds on the first AutoImplant (2020) by including real clinical cases and more synthetic data across three tracks to evaluate different aspects of implant design.
  • Submitted designs were assessed based on their performance using metrics from imaging data and evaluations by a neurosurgeon, showing significant advancements in areas like efficiency and adaptability.
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Fringe projection profilometry (FPP) is the most commonly used structured light approach for 3D object profiling. Traditional FPP algorithms have multistage procedures that can lead to error propagation. Deep-learning-based end-to-end models currently have been developed to mitigate this error propagation and provide faithful reconstruction.

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In the imbalance data scenarios, Deep Neural Networks (DNNs) fail to generalize well on minority classes. In this letter, we propose a simple and effective learning function i.e, Visually Interpretable Space Adjustment Learning (VISAL) to handle the imbalanced data classification task.

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Background: Transbronchial lung biopsy with radial endobronchial ultrasound (rEBUS-TBB) and Computed tomography (CT) scan-guided transthoracic biopsy (CT-TTB) are commonly used to investigate peripheral lung nodules but high-quality data are still not clear about the diagnostic and safety profile comparison of these two modalities.

Method: We included all randomized controlled trials (RCT) comparing rEBUS-TBB with a flexible bronchoscope and CT-TTB for solitary lung nodules. Two reviewers extracted data independently on diagnostic performance and complication rates.

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Interstitial lung disease or ILD can be described as inflammation, fibrosis, or scarring of the lung's interstitial, resulting in dyspnea. ILD represents a group of heterogeneous parenchymal lung disorders with complex pathophysiology, differentiated by the clinical and radiological patterns. ILD is one of the most serious pulmonary complications associated with connective tissue diseases (CTDs), resulting in significant morbidity and mortality.

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