Research And Publications
RESEARCH AND PUBLICATIONS
1999
An analysis of the precipitating factors and complication. Journal of Association of Physicians of India
PR Krishnan, Aparna Agarwal, R Sundaresan, Hepatic encephalopathy
2001
Refractory seizures in Indian patients. Epilepsia
Tripathi M, Krishnan PR, Srivastava AK, Maheshwari MC, Padma MV, Jain S. Topiramate as add-on
2002
Inactive Lepromatous leprosy presenting as vasculitic neuropathy. Annals of Indian Academy of Neurology
Krishnan PR, Tripathi M, Agarwal P, Srivastava A, Sharma MC
2003
Restless legs syndrome in Parkinson's disease: a case-controlled study. Movement Disord.
Krishnan PR, Bhatia M, Behari M.
2003
Experience with new antiepileptic drugs among Indians with refractory epilepsy. Neurol J Southeast Asia
Krishnan P.R, Tripathi M, Jain S.
2003
Seizure worsening with Topiramate amongst Indians with refractory epilepsy. European Journal of Neurology
PR Krishnan, M Tripathi and S Jain.
2005
Anticonvulsant therapy for status epilepticus. The Cochrane Database of Systematic Reviews
Prasad K, Al-Roomi K, Krishnan PR, Sequeira R
2005
Takayasu Arteritis with high titre of antiphospholipid antibodies and MTHFR polymorphism. Journal of Thrombosis and Thrombolysis
Adel Al-Jishi, Pudukode R Krishnan, Wassim Almawi
2007
Anticonvulsant therapy for status epilepticus. British Journal of Clinical Pharmacology.
Prasad K, Krishnan PR, Al-Roomi K, Sequeira R
2007
Recurrent posterior reversible encephalopathy syndrome in a patient with sickle cell disease. Ann Saudi Med
Parameswaran BK, Krishnan PR, Al Dossary J
2007
Bilateral medial cerebellar infarction in a patient positive for lupus anticoagulant. Journal of Thrombosis and Thrombolysis
Praveen Kumar Gupta, Pudukode Ramnath Krishnan, Sudhakar JP.
2007
Spontaneous intraventricular rupture of brain abscess presenting as meningitis. Journal of the Bahrain Medical Society.
Praveen Kumar Gupta, Pudukode Ramnath Krishnan, Farzana Al Sayed, Bimal Kumar Parameswaran.
2008
Ischemic infarction following an intracerebral hemorrhage in an adult sickle cell disease with angiographic moyamoya. Journal of thrombosis and thrombolysis.
Praveen Kumar Gupta, Pudukode Ramnath Krishnan, Prabha Ramadorai, Abdulla Al Ajmi, Janaki Praharaju Sudhakar.
2009
Hippocampal involvement due to heroin inhalation - "Chasing the Dragon”. Clinical Neurology and Neurosurgery
Praveen Kumar Gupta, Pudukode Ramnath Krishnan, Sudhakar JP.
2009
Scedosporium apiospermum brain abscess:An emerging challenge.Pan Arab Journal Of Neurosurgery
PK Gupta, PR Krishnan, PJ Sudhakar, Afaf Jamsheer, Roopa Arora.
2010
Fever is associated with doubling of odds of short-term mortality in ischemic stroke: An updated meta-analysis. Acta Neurol Scand
Prasad K. Krishnan PR.
2014
Anticonvulsant therapy for status epilepticus. Cochrane Database of Systematic Reviews
Prasad M, Krishnan PR, Sequeira R, Al-Roomi K.
RECENT PUBLICATIONS
2020
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification
Suri JS, Puvvula A, Biswas M, Majhail M, Saba L, Faa G, Singh IM, Oberleitner R, Turk M, Chadha PS, Johri AM, Sanches JM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Ahluwalia P, Kolluri R, Teji J, Maini MA, Agbakoba A, Dhanjil SK, Sockalingam M, Saxena A, Nicolaides A, Sharma A, Rathore V, Ajuluchukwu JNA, Fatemi M, Alizad A, Viswanathan V, Krishnan PR, Naidu S.
2021
Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography. Diagnostics (Basel).
Suri JS, Agarwal S, Elavarthi P, Pathak R, Ketireddy V, Columbu M, Saba L, Gupta SK, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Ferenc N, Ruzsa Z, Gupta A, Naidu S, Kalra MK.
2022
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study. J Clin Med.
Khanna NN, Maindarkar MA, Viswanathan V, Puvvula A, Paul S, Bhagawati M, Ahluwalia P, Ruzsa Z, Sharma A, Kolluri R, Krishnan PR, Singh IM, Laird JR, Fatemi M, Alizad A, Dhanjil SK, Saba L, Balestrieri A, Faa G, Paraskevas KI, Misra DP, Agarwal V, Sharma A, Teji JS, Al-Maini M, Nicolaides A, Rathore V, Naidu S, Liblik K, Johri AM, Turk M, Sobel DW, Miner M, Viskovic K, Tsoulfas G, Protogerou AD, Mavrogeni S, Kitas GD, Fouda MM, Kalra MK, Suri JS.
2022
Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson's Disease: A Narrative Review. Diagnostics (Basel).
Paul S, Maindarkar M, Saxena S, Saba L, Turk M, Kalra M, Krishnan PR, Suri JS.
2022
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson's Disease Affected by COVID-19: A Narrative Review. Diagnostics (Basel).
Suri JS, Maindarkar MA, Paul S, Ahluwalia P, Bhagawati M, Saba L, Faa G, Saxena S, Singh IM, Chadha PS, Turk M, Johri A, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou AD, Misra DP, Agarwal V, Kitas GD, Kolluri R, Teji JS, Al-Maini M, Dhanjil SK, Sockalingam M, Saxena A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Omerzu T, Naidu S, Nicolaides A, Paraskevas KI, Kalra M, Ruzsa Z, Fouda MM.
2022
Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report. J Cardiovasc Dev Dis.
Khanna NN, Maindarkar M, Puvvula A, Paul S, Bhagawati M, Ahluwalia P, Ruzsa Z, Sharma A, Munjral S, Kolluri R, Krishnan PR, Singh IM, Laird JR, Fatemi M, Alizad A, Dhanjil SK, Saba L, Balestrieri A, Faa G, Paraskevas KI, Misra DP, Agarwal V, Sharma A, Teji J, Al-Maini M, Nicolaides A, Rathore V, Naidu S, Liblik K, Johri AM, Turk M, Sobel DW, Pareek G, Miner M, Viskovic K, Tsoulfas G, Protogerou AD, Mavrogeni S, Kitas GD, Fouda MM, Kalra MK, Suri JS.
2021
Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models. Diagnostics (Basel).
Suri JS, Agarwal S, Pathak R, Ketireddy V, Columbu M, Saba L, Gupta SK, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Frence N, Ruzsa Z, Gupta A, Naidu S, Kalra M. COVLIAS 1.0:
2022
Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non- COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review. Diagnostics (Basel).
Munjral S, Maindarkar M, Ahluwalia P, Puvvula A, Jamthikar A, Jujaray T, Suri N, Paul S, Pathak R, Saba L, Chalakkal RJ, Gupta S, Faa G, Singh IM, Chadha PS, Turk M, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Kolluri R, Teji J, Al-Maini M, Dhanjil SK, Sockalingam M, Saxena A, Sharma A, Rathore V, Fatemi M, Alizad A, Viswanathan V, Krishnan PR, Omerzu T, Naidu S, Nicolaides A, Fouda MM, Suri JS.
2022
Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans. Diagnostics (Basel).
Suri JS, Agarwal S, Chabert GL, Carriero A, Paschè A, Danna PSC, Saba L, Mehmedović A, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou AD, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Nagy F, Ruzsa Z, Fouda MM, Naidu S, Viskovic K, Kalra MK. COVLIAS
2021
Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts. Diagnostics (Basel).
Suri JS, Agarwal S, Carriero A, Paschè A, Danna PSC, Columbu M, Saba L, Viskovic K, Mehmedović A, Agarwal S, Gupta L, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Nagy F, Ruzsa Z, Gupta A, Naidu S, Paraskevas KI, Kalra MK.
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2022
An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. Diagnostics (Basel).
Suri JS, Agarwal S, Chabert GL, Carriero A, Paschè A, Danna PSC, Saba L, Mehmedović A, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou AD, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Nagy F, Ruzsa Z, Fouda MM, Naidu S, Viskovic K, Kalra MK. COVLIAS 1.0 Lesion vs. MedSeg
2022
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Comput Biol Med.
Agarwal M, Agarwal S, Saba L, Chabert GL, Gupta S, Carriero A, Pasche A, Danna P, Mehmedovic A, Faa G, Shrivastava S, Jain K, Jain H, Jujaray T, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Sobel DW, Miner M, Balestrieri A, Sfikakis PP, Tsoulfas G, Misra DP, Agarwal V, Kitas GD, Teji JS, Al- Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Yadav RR, Nagy F, Kincses ZT, Ruzsa Z, Naidu S, Viskovic K, Kalra MK, Suri JS.
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