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  4. Lalith Kumar Shiyam Sundar

Lalith Kumar Shiyam Sundar Uncle Sam recruitment poster (US) YOU? Author Swipe

View article: Feasibility of different lymph node metastases delineation approaches in [18F]SiTATE PET/CT imaging in NET patients
Feasibility of different lymph node metastases delineation approaches in [18F]SiTATE PET/CT imaging in NET patients Open
Sophie C. Kunte, Michael Schöll, Vera Wenter, Gabriel T. Sheikh, Maximilian Scheifele , et al. · 2025
View article: Whole-Body [18F]FDG-PET/CT Imaging of Healthy Controls: Test/Retest Data for Systemic, Multi-Organ Analysis
Whole-Body [18F]FDG-PET/CT Imaging of Healthy Controls: Test/Retest Data for Systemic, Multi-Organ Analysis Open
Sebastian Gutschmayer, Josef Yu, Barbara Katharina Geist, Öykü Özer, Bettina Reiterits , et al. · 2025
Positron Emission Tomography (PET) with 2-deoxy-2-[ 18 F]fluoro-D-glucose (FDG) and Computed Tomography (CT) are key tools in oncology diagnostics. However, most PET studies focus on tumour detection. We propose that a holistic assessment …
View article: Brain Metabolic Activity on FDG PET/CT Predicts Survival in Non–Small Cell Lung Cancer
Brain Metabolic Activity on FDG PET/CT Predicts Survival in Non–Small Cell Lung Cancer Open
Julie Auriac, Ghada Lemoudda, Narinée Hovhannisyan‐Baghdasarian, Manuel Melo Pires, Lalith Kumar Shiyam Sundar , et al. · 2025
Background [18F]FDG-PET/CT images play a key role in the management of patients with Non-Small Cell Lung Cancer (NSCLC). However, in these scans, the focus is always on the detected tumors and on their characteristics, neglecting informati…
View article: Comparison of organ volumes and standardized uptake values in [18F]FDG‐PET/CT images using MOOSE and TotalSegmentator to segment CT images
Comparison of organ volumes and standardized uptake values in [18F]FDG‐PET/CT images using MOOSE and TotalSegmentator to segment CT images Open
Julie Auriac, Christophe Nioche, Narinée Hovhannisyan‐Baghdasarian, C. Loisel, Romain‐David Seban , et al. · 2025
Background Manual segmentation of organs from PET/CT images is a time‐consuming and highly operator‐dependent task. Open software solutions are now available to automatically segment all major anatomical structures in CT images. Purpose We…
View article: Automated segmentation pipeline for segmentation and characterising metabolic dysregulation in cancer cachexia
Automated segmentation pipeline for segmentation and characterising metabolic dysregulation in cancer cachexia Open
Lisa Duff, Emma Brown, Fraser Edgar, Manuel Melo Pires, Lalith Kumar Shiyam Sundar , et al. · 2024
Cancer cachexia disrupts metabolic homeostasis across various organs. Positron Emission Tomography (PET) is valuable for investigating cachexia in preclinical models and patients[1]. However, manually segmenting multiple organs is laboriou…
View article: Is Automatic Tumor Segmentation on Whole-Body<sup>18</sup>F-FDG PET Images a Clinical Reality?
Is Automatic Tumor Segmentation on Whole-Body<sup>18</sup>F-FDG PET Images a Clinical Reality? Open
Lalith Kumar Shiyam Sundar, Thomas Beyer · 2024
The integration of automated whole-body tumor segmentation using 18F-FDG PET/CT images represents a pivotal shift in oncologic diagnostics, enhancing the precision and efficiency of tumor burden assessment. This editorial examin…
View article: Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence
Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence Open
Lalith Kumar Shiyam Sundar, Sebastian Gutschmayer, Marcel Maenle, Thomas Beyer · 2024
View article: Low-dose and standard-dose whole-body [18F]FDG-PET/CT imaging: implications for healthy controls and lung cancer patients
Low-dose and standard-dose whole-body [18F]FDG-PET/CT imaging: implications for healthy controls and lung cancer patients Open
Daria Ferrara, Lalith Kumar Shiyam Sundar, Zacharias Chalampalakis, Barbara Katharina Geist, Daniela Gompelmann , et al. · 2024
Aim: High-sensitivity hybrid positron emission tomography (PET) imaging using advanced whole-body (WB) or total-body PET/computed tomography (CT) systems permits reducing injected tracer activity while preserving diagnostic quality. Such a…
View article: An energy costly architecture of neuromodulators for human brain evolution and cognition
An energy costly architecture of neuromodulators for human brain evolution and cognition Open
Gabriel Castrillón, Samira Epp, Antonia Bose, Laura Fraticelli, André Hechler , et al. · 2023
In comparison to other species, the human brain exhibits one of the highest energy demands relative to body metabolism. It remains unclear whether this heightened energy demand uniformly supports an enlarged brain or if specific signaling …
View article: Fully Automated, Fast Motion Correction of Dynamic Whole-Body and Total-Body PET/CT Imaging Studies
Fully Automated, Fast Motion Correction of Dynamic Whole-Body and Total-Body PET/CT Imaging Studies Open
Lalith Kumar Shiyam Sundar, Martin Lyngby Lassen, Sebastian Gutschmayer, Daria Ferrara, Anna Calabrò , et al. · 2023
We introduce the Fast Algorithm for Motion Correction (FALCON) software, which allows correction of both rigid and nonlinear motion artifacts in dynamic whole-body (WB) images, irrespective of the PET/CT system or the tracer. Methods:
View article: An energy costly architecture of neuromodulators for human brain evolution and cognition
An energy costly architecture of neuromodulators for human brain evolution and cognition Open
Gabriel Castrillón, Samira Epp, Antonia Bose, Laura Fraticelli, André Hechler , et al. · 2023
Humans spend more energy on the brain than any other species. However, the high energy demand cannot be fully explained by brain size scaling alone. We hypothesized that energy-demanding signaling strategies may have contributed to human c…
View article: Whole-Body PET Imaging: A Catalyst for Whole-Person Research?
Whole-Body PET Imaging: A Catalyst for Whole-Person Research? Open
Lalith Kumar Shiyam Sundar, Marcus Hacker, Thomas Beyer · 2022
> You don't understand anything until you learn it more than one way. > > —Marvin Minsky (1927–2016) Living organisms maintain homeostasis through dynamic multiorgan systemic interactions ([1][1]). Considerable energy is needed to fuel the…
View article: A scale space theory based motion correction approach for dynamic PET brain imaging studies
A scale space theory based motion correction approach for dynamic PET brain imaging studies Open
Sebastian Gutschmayer, Otto Muzik, Zacharias Chalampalakis, Daria Ferrara, Josef Yu , et al. · 2022
Aim/Introduction: Patient head motion poses a significant challenge when performing dynamic PET brain studies. In response, we developed a fast, robust, easily implementable and tracer-independent brain motion correction technique that fac…
View article: Fully Automated, Semantic Segmentation of Whole-Body<sup>18</sup>F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence
Fully Automated, Semantic Segmentation of Whole-Body<sup>18</sup>F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence Open
Lalith Kumar Shiyam Sundar, Josef Yu, Otto Muzik, Oana C. Kulterer, Barbara J. Fueger , et al. · 2022
We introduce multiple-organ objective segmentation (MOOSE) software that generates subject-specific, multiorgan segmentation using data-centric artificial intelligence principles to facilitate high-throughput systemic investigations of the…
View article: A Noninvasive Quantification Approach for Monitoring Brain Metabolic Alterations After Surgical Intervention in Ischemic Cerebrovascular Disease
A Noninvasive Quantification Approach for Monitoring Brain Metabolic Alterations After Surgical Intervention in Ischemic Cerebrovascular Disease Open
Min Wang, Bixiao Cui, Yi Shan, Hongwei Yang, Zhuangzhi Yan , et al. · 2021
Purpose : Non-invasive quantification of cerebral metabolic rate for glucose (CMRGlc) and characterizing cerebral metabolism of cerebrovascular territories are useful for the understanding of ischemic cerebrovascular disease (ICVD). Here, …
View article: Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic <sup>18</sup>F-FDG PET Brain Studies
Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic <sup>18</sup>F-FDG PET Brain Studies Open
Lalith Kumar Shiyam Sundar, David Iommi, Otto Muzik, Zacharias Chalampalakis, Eva‐Maria Klebermass , et al. · 2020
This work set out to develop a motion-correction approach aided by conditional generative adversarial network (cGAN) methodology that allows reliable, data-driven determination of involuntary subject motion during dynamic 18F-FD…
View article: Potentials and caveats of AI in hybrid imaging
Potentials and caveats of AI in hybrid imaging Open
Lalith Kumar Shiyam Sundar, Otto Muzik, Irène Buvat, Luc Bidaut, Thomas Beyer · 2020
State-of-the-art patient management frequently mandates the investigation of both anatomy and physiology of the patients. Hybrid imaging modalities such as the PET/MRI, PET/CT and SPECT/CT have the ability to provide both structural and fu…
View article: Optimization for customized trajectories in cone beam computed tomography
Optimization for customized trajectories in cone beam computed tomography Open
Sepideh Hatamikia, Ander Biguri, Gernot Kronreif, Joachim Kettenbach, Tom Russ , et al. · 2020
Purpose We developed a target‐based cone beam computed tomography (CBCT) imaging framework for optimizing an unconstrained three dimensional (3D) source‐detector trajectory by incorporating prior image information. Our main aim is to enabl…
View article: What scans we will read: imaging instrumentation trends in clinical oncology
What scans we will read: imaging instrumentation trends in clinical oncology Open
Thomas Beyer, Luc Bidaut, John Dickson, Marc Kachelrieß, Fabian Kießling , et al. · 2020
View article: Fully Integrated PET/MR Imaging for the Assessment of the Relationship Between Functional Connectivity and Glucose Metabolic Rate
Fully Integrated PET/MR Imaging for the Assessment of the Relationship Between Functional Connectivity and Glucose Metabolic Rate Open
Lalith Kumar Shiyam Sundar, Shahira Baajour, Thomas Beyer, Rupert Lanzenberger, Tatjana Traub‐Weidinger , et al. · 2020
Measurement of functional connectivity within established brain networks did not provide a means to decrease the inter- or intrasubject variability of CMRGlc values. As such, our results indicate that connectivity measured derived from rs-…
View article: Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using <sup>18</sup>F-FDG PET/MRI
Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using <sup>18</sup>F-FDG PET/MRI Open
Sazan Rasul, Barbara Katharina Geist, Helmut Brath, Pascal Baltzer, Lalith Kumar Shiyam Sundar , et al. · 2020
Introduction Inhibitors of sodium-glucose linked transporter-2 (SGLT2i) are enhancing glucose excretion in the proximal renal tubules, and thus are increasingly used to lower blood glucose levels in patients with type 2 diabetes mellitus (…
View article: Utility of Absolute Quantification in Non-lesional Extratemporal Lobe Epilepsy Using FDG PET/MR Imaging
Utility of Absolute Quantification in Non-lesional Extratemporal Lobe Epilepsy Using FDG PET/MR Imaging Open
Tatjana Traub‐Weidinger, Otto Muzik, Lalith Kumar Shiyam Sundar, Susanne Aull‐Watschinger, Thomas Beyer , et al. · 2020
The purpose of this study was to establish a non-invasive clinical PET/MR protocol using [18F]-labeled deoxyglucose (FDG) that provides physicians with regional metabolic rate of glucose (MRGlc) values and to clarify the contrib…
View article: Promise of Fully Integrated PET/MRI: Noninvasive Clinical Quantification of Cerebral Glucose Metabolism
Promise of Fully Integrated PET/MRI: Noninvasive Clinical Quantification of Cerebral Glucose Metabolism Open
Lalith Kumar Shiyam Sundar, Otto Muzik, Lucas Rischka, Andreas Hahn, Rupert Lanzenberger , et al. · 2019
We describe a fully automated processing pipeline to support the noninvasive absolute quantification of the cerebral metabolic rate for glucose (CMRGlc) in a clinical setting. This pipeline takes advantage of "anatometabolic" information a…
View article: Assessment of the kidney function parameters split function, mean transit time, and outflow efficiency using dynamic FDG-PET/MRI in healthy subjects
Assessment of the kidney function parameters split function, mean transit time, and outflow efficiency using dynamic FDG-PET/MRI in healthy subjects Open
Barbara Katharina Geist, Pascal Baltzer, Barbara J. Fueger, Martina Hamboeck, Thomas Nakuz , et al. · 2019
View article: Corrigendum: Hybrid Imaging: Instrumentation and Data Processing
Corrigendum: Hybrid Imaging: Instrumentation and Data Processing Open
Jacobo Cal-González, Ivo Rausch, Lalith Kumar Shiyam Sundar, Martin Lyngby Lassen, Otto Muzik , et al. · 2018
There is an erratum in the article: "Cal-Gonzalez J, Rausch I, Shiyam Sundar LK, Lassen ML, Muzik O, Moser E, Papp L and Beyer T (2018) Hybrid Imaging: Instrumentation and Data Processing. Front. Phys. 6:47. doi: 10.3389/fphy.2018.00047". …
View article: Hybrid Imaging: Instrumentation and Data Processing
Hybrid Imaging: Instrumentation and Data Processing Open
Jacobo Cal-González, Ivo Rausch, Lalith Kumar Shiyam Sundar, Martin Lyngby Lassen, Otto Muzik , et al. · 2018
State-of-the-art patient management frequently requires the use of non-invasive imaging methods to assess the anatomy, function or molecular-biological conditions of patients or study subjects. Such imaging methods can be singular, providi…
View article: Assessing the kidney function parameters glomerular filtration rate and effective renal plasma flow with dynamic FDG-PET/MRI in healthy subjects
Assessing the kidney function parameters glomerular filtration rate and effective renal plasma flow with dynamic FDG-PET/MRI in healthy subjects Open
Barbara Katharina Geist, Pascal Baltzer, Barbara J. Fueger, Martina Hamboeck, Thomas Nakuz , et al. · 2018




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