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Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis

Gastroenterology (New York, N.Y. 1943), 2022-11, Vol.163 (5), p.1435-1446.e3

2022

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Biopsy with Side-Cutting Coaxial Needle—Knowing the “Cutting Length” and “Throw Length”

The Indian journal of radiology & imaging, 2021-10, Vol.31 (4), p.933-938

2021

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Predicting Positive Radial Margin on Restaging MRI of Patients with Low Rectal Cancer: Can We Do Better?

The Indian journal of radiology & imaging, 2024-01, Vol.34 (1), p.85-94

2024

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Diffuse Infiltrative Non-mass-like Brain Parenchymal Lesions on MRI: Differentiating Lymphomatosis Cerebri from its Mimics

Journal of clinical imaging science, 2021-07, Vol.11, p.41-41, Article 41

2021

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Radiology Reporting Errors: Learning from Report Addenda

The Indian journal of radiology & imaging, 2021-04, Vol.31 (2), p.333-344

2021

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Abstract PO-084: Automated detection of pancreatic ductal adenocarcinoma (PDAC) on CT scans using artificial intelligence (AI): Impact of inclusion of automated pancreas segmentation on the accuracy of 3D-convolutional neural network (CNN)

Clinical cancer research, 2021-03, Vol.27 (5_Supplement), p.PO-084-PO-084

2021

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MR Imaging in Neurocritical Care

Indian journal of critical care medicine, 2019-06, Vol.23 (S2), p.104-114

2019

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Volumetric Pancreas Segmentation on Computed Tomography: Accuracy and Efficiency of a Convolutional Neural Network Versus Manual Segmentation in 3D Slicer in the Context of Interreader Variability of Expert Radiologists

Journal of computer assisted tomography, 2022-11, Vol.46 (6), p.841

2022

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MDT stage migration in MRI of significant rectal polyps and early rectal cancers

Abdominal radiology (New York), 2022-08, Vol.47 (8), p.2760-2769

2022

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MR Imaging in Neurocritical Care

Indian journal of critical care medicine, 2019-06, Vol.23 (Suppl 2), p.S104

2019

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Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans

Gastroenterology (New York, N.Y. 1943), 2023-12, Vol.165 (6), p.1533-1546.e4

2023

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Atypical Metastases in the Abdomen and Pelvis From Biochemically Recurrent Prostate Cancer: 11 C-Choline PET/CT With Multimodality Correlation

American journal of roentgenology (1976), 2022-01, Vol.218 (1), p.141

2022

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Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.], 2021-08, Vol.21 (5), p.1001-1008

2021

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Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept study

Abdominal radiology (New York), 2022-11, Vol.47 (11), p.3806-3816

2022

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Imaging Recommendations for Diagnosis, Staging, and Management of Bone Tumors

Indian journal of medical and paediatric oncology, 2023-04, Vol.44 (2), p.257-260

2023

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Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.], 2023-08, Vol.23 (5), p.522-529

2023

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Imaging Recommendations for Diagnosis, Staging, and Management of Gastric Cancer

Indian journal of medical and paediatric oncology, 2023-02, Vol.44 (1), p.066-070

2023

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Imaging Recommendations for Diagnosis, Staging and Management of Treatment-Related Complications in Cancer

Indian journal of medical and paediatric oncology, 2023-06, Vol.44 (3), p.322-333

2023

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Imaging Recommendations for Diagnosis, Staging, and Management of Hepatic and Biliary Tract Cancer

Indian journal of medical and paediatric oncology, 2023-04, Vol.44 (2), p.241-250

2023

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Radiomics for Detection of Pancreas Adenocarcinoma on CT Scans: Impact of Biliary Stents

Radiology. Imaging cancer, 2022-01, Vol.4 (1), p.e210081-e210081

2022

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Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.3419-3422

2021

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IEEE_Xplore

A Mild Rhodium Catalyzed Direct Synthesis of Quinolones from Pyridones: Application in the Detection of Nitroaromatics

Journal of organic chemistry, 2017-10, Vol.82 (20), p.10989-10996

2017

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Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis

Biopsy with Side-Cutting Coaxial Needle—Knowing the “Cutting Length” and “Throw Length”

Predicting Positive Radial Margin on Restaging MRI of Patients with Low Rectal Cancer: Can We Do Better?

Diffuse Infiltrative Non-mass-like Brain Parenchymal Lesions on MRI: Differentiating Lymphomatosis Cerebri from its Mimics

Radiology Reporting Errors: Learning from Report Addenda

Abstract PO-084: Automated detection of pancreatic ductal adenocarcinoma (PDAC) on CT scans using artificial intelligence (AI): Impact of inclusion of automated pancreas segmentation on the accuracy of 3D-convolutional neural network (CNN)

MR Imaging in Neurocritical Care

Volumetric Pancreas Segmentation on Computed Tomography: Accuracy and Efficiency of a Convolutional Neural Network Versus Manual Segmentation in 3D Slicer in the Context of Interreader Variability of Expert Radiologists

MDT stage migration in MRI of significant rectal polyps and early rectal cancers

MR Imaging in Neurocritical Care

Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans

Atypical Metastases in the Abdomen and Pelvis From Biochemically Recurrent Prostate Cancer: 11 C-Choline PET/CT With Multimodality Correlation

Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications

Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept study

Imaging Recommendations for Diagnosis, Staging, and Management of Bone Tumors

Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs

Imaging Recommendations for Diagnosis, Staging, and Management of Gastric Cancer

Imaging Recommendations for Diagnosis, Staging and Management of Treatment-Related Complications in Cancer

Imaging Recommendations for Diagnosis, Staging, and Management of Hepatic and Biliary Tract Cancer

Radiomics for Detection of Pancreas Adenocarcinoma on CT Scans: Impact of Biliary Stents

PSMA as a Theranostic Target in Hepatocellular Carcinoma: Immunohistochemistry and 68 Ga-PSMA-11 PET Using Cyclotron-Produced 68 Ga

PSMA as a Theranostic Target in Hepatocellular Carcinoma: Immunohistochemistry and 68Ga‐PSMA‐11 PET Using Cyclotron‐Produced 68Ga

Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test

Automated Artificial Intelligence Model Trained on a Large Dataset Can Detect Pancreas Cancer on Diagnostic CTs as well as Visually Occult Pre-invasive Cancer on Pre-diagnostic CTs

A Mild Rhodium Catalyzed Direct Synthesis of Quinolones from Pyridones: Application in the Detection of Nitroaromatics

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