Management of Sub-Condylar and Angle of Mandible Fracture by a Trans-Buccal Trocar Along With an Intra-Oral Approach von Krishnan Kutty, Deepti, Hallur, Neelakamal, Siddiqa, Aaisha, Zakaullah, Syed, Kothari, Chaitanya

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Energetic graphene oxide: Challenges and opportunities von Krishnan, Deepti, Kim, Franklin, Luo, Jiayan, Cruz-Silva, Rodolfo, Cote, Laura J., Jang, Hee Dong, Huang, Jiaxing

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Graphene: A Reusable Substrate for Unprecedented Adsorption of Pesticides von Maliyekkal, Shihabudheen M., Sreeprasad, T. S., Krishnan, Deepti, Kouser, Summayya, Mishra, Abhishek Kumar, Waghmare, Umesh V., Pradeep, T.

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Precursor-controlled synthesis of hierarchical ZnO nanostructures, using oligoaniline-coated Au nanoparticle seeds von Krishnan, Deepti, Pradeep, T.

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Graphene Oxide Assisted Hydrothermal Carbonization of Carbon Hydrates von Krishnan, Deepti, Raidongia, Kalyan, Shao, Jiaojing, Huang, Jiaxing

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A TaqMan™-based quantitative PCR screening assay for the probiotic Streptococcus salivarius K12 based on the specific detection of its megaplasmid-associated salivaricin B locus von Reid, Peter, Heng, Nicholas C.K., Hale, John D., Krishnan, Deepti, Crane, Julian, Tagg, John R., Milne, Trudy J.

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Understanding calibration of deep neural networks for medical image classification von Sambyal, Abhishek Singh, Niyaz, Usma, Krishnan, Narayanan C., Bathula, Deepti R.

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Offensive language detection in Tamil YouTube comments by adapters and cross-domain knowledge transfer von Subramanian, Malliga, Ponnusamy, Rahul, Benhur, Sean, Shanmugavadivel, Kogilavani, Ganesan, Adhithiya, Ravi, Deepti, Shanmugasundaram, Gowtham Krishnan, Priyadharshini, Ruba, Chakravarthi, Bharathi Raja

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Exploring the role of ChatGPT in medical image analysis von Handa, Palak, Chhabra, Deepti, Goel, Nidhi, Krishnan, Sri

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AI-Based Machine Learning and Multiple Linear Regression Approach to Simulate the Effect of Weather on the Crop Age at First Appearance of Potato Late Blight (Phytophthora infestan... von Joshi, Deepti, Krishnan, Prameela, Vashisth, Ananta, Kundu, Monika, Rani, Alka, Bag, Tusar Kanti

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Marker-assisted improvement of bacterial blight resistance in parental lines of Pusa RH10, a superfine grain aromatic rice hybrid von Basavaraj, S. H., Singh, Vikas K., Singh, Atul, Singh, Ashutosh, Singh, Anita, Anand, Deepti, Yadav, Sheel, Ellur, Ranjith K., Singh, Devinder, Gopala Krishnan, S., Nagarajan, M., Mohapatra, T., Prabhu, K. V., Singh, Ashok K.

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PO-05-164 DETECTING ARRHYTHMOGENIC RIGHT VENTRICULAR CARDIOMYOPATHY USING NEURAL NETWORKS von Sigfstead, Sophie, George, Chris, Jiang, River, Davies, Brianna, Ranganathan, Deepti, Laksman, Zachary, CADRIN-TOURIGNY, JULIA, Tadros, Rafik, Khan, Habib, Atallah, Joseph, Steinberg, Christian, Sanatani, Shubhayan, Talajic, Mario, Krishnan, Rahul, Krahn, Andrew D., Cheung, Christopher C.

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Indian Academy of Pediatrics Guidelines on Screen Time and Digital Wellness in Infants, Children and Adolescents von Gupta, Piyush, Shah, Dheeraj, Bedi, Nidhi, Galagali, Preeti, Dalwai, Samir, Agrawal, Sanwar, John, Jijo Joseph, Mahajan, Vidushi, Meena, Pinky, Mittal, Hema G., Narmada, S., Smilie, Chabungbam, Ramanan, Padmasani Venkat, Evans, Yolanda N., Goel, Sanjeev, Mehta, Rajesh, Mishra, Sudhir, Pemde, Harish, Basavaraja, G. V., Parekh, Bakul J., Rich, Michael, Kurkure, Purna, Narain, Nigam Prakash, Vasudev, Anand, Sudhakar, G., Dabhadkar, Shekhar, Kesavan, Ananda, Gupta, Raj Kumar, Bhadra, Atanu, Patil, Geeta, Jadhav, Prashant, Kumar, Remesh, Sharma, Manoj, Mehta, V. C., Agrawal, Deepti, Krishnan, Gopal

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Multiple system atrophy like presentation with hot-cross bun sign in anti-IgLON5 disease von Vijayaraghavan, Asish, Prabhu, AS, Divya, KP, Sapna, ES, Cherian, Ajith, Narasimhaiah, Deepti, Krishnan, Syam

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Oxidised LDL Cholesterol (Ox-LDL-C) and Ox-LDL-C/HDL Cholesterol (HDL-C) Ratio in Acute Coronary Syndrome Patients versus Chronic Coronary Artery Disease Patients on Statin Treatme... von Cheriyan, Sumina, Nandakumaran, Deepti Girija, Roy, D Dinesh, Mahendra, Jaideep, Krishnan, Viji

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Epidemiology of chronic and acute pancreatitis in India (EPICAP-India): protocol for a multicentre study von Krishnan, Anand, Pillai, Divya, Amarchand, Ritvik, Agarwal, Ashish, Ahuja, Vineet, Baloni, Vineeta, Basu, Subhra Samujjwal, Bhardwaj, Pankaj, Choudhury, Bikash, Chowdhury, Sudipta Dhar, Dabar, Deepti, Das, Soumi, Deshmukh, Pradeep, Devadas, Krishnadas, Dhali, Gopal Krishna, Gunjan, Deepak, Gupta, Anmol, Jain, Saransh, Kedia, Saurabh, Kumar, Rakesh, Kumar, Sanjeev, Makharia, Govind K, Monga, Nitika, Rungta, Sumit, Saraya, Anoop, Sarkar, Rajib, Shalimar, Sharma, Brij, Singh, Shivendra, Sujatha, Chintha, Wadhwa, Nitya, Garg, Pramod Kumar

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Genomics of rare genetic diseases-experiences from India von Sivasubbu, Sridhar, Scaria, Vinod

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Characterizing Long COVID in Children and Adolescents von Thaweethai, Tanayott, Snowden, Jessica N, Rosenzweig, Erika B, Milner, Joshua D, Tantisira, Kelan G, Jernigan, Terry L, Kinser, Patricia A, Salisbury, Amy L, Warburton, David, Mohandas, Sindhu, Wood, John C, Newburger, Jane W, Truong, Dongngan T, Flaherman, Valerie J, Karlson, Elizabeth W, Krishnamoorthy, Aparna, Gallagher, Richard, Lamendola-Essel, Michelle F, Hasson, Denise C, Katz, Stuart D, Yin, Shonna, Dreyer, Benard P, Coombs, K, Güthe, Nick, Hornig, Mady, Letts, Rebecca J, Stockwell, Melissa S, Bogie, Amanda, Bukulmez, Hulya, Dozor, Allen J, Farkas, Jonathan S, Faustino, E. Vincent S, Harahsheh, Ashraf S, Hasan, Uzma N, Hsia, Daniel S, Hummel, Kathy D, Kadish, Matt P, Krishnan, Sankaran, Kosut, Jessica S, Larrabee, Jerry, Michelow, Ian C, Oliveira, Carlos R, Raissy, Hengameh, Sato, Alice I, Stevenson, Michelle D, Talavera-Barber, Maria M, Weakley, Kathryn E, Zimmerman, Emily, Bind, Marie-Abele C, Guan, Zoe, Morse, Richard E, Akshoomoff, Natascha, Aschner, Judy L, Bhattacharjee, Rakesh, Cottrell, Lesley A, Cowan, Kelly, D'Sa, Viren A, Fiks, Alexander G, Gennaro, Maria L, Irby, Katherine, Guttierrez, Jeremy Landeo, Ness-Cochinwala, Manette, Nolan, Sheila, Ryu, Julie, Salazar, Juan C, Selvarangan, Rangaraj, Stein, Cheryl R, Werzberger, Alan, Zempsky, William T, Banich, Marie T, Barch, Deanna M, Bjork, James M, Bookheimer, Susan Y, Casey, BJ, Chang, Linda, Clark, Duncan B, Dale, Anders M, Ernst, Thomas M, Fair, Damien A, Feldstein Ewing, Sarah W, Foxe, John J, Friedman, Naomi P, Garavan, Hugh, Gee, Dylan G, Gonzalez, Raul, Gray, Kevin M, Heitzeg, Mary M, Herting, Megan M, Laird, Angela R, Larson, Christine L, Luna, Beatriz, Madden, Pamela A.F, McGlade, Erin C, Müller-Oehring, Eva M, Nagel, Bonnie J, Neale, Michael C, Renshaw, Perry F, Squeglia, Lindsay M, Uddin, Lucina Q, Yurgelun-Todd, Deborah A

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Transfer Learning-Based Deep Learning Models for Screening Covid-19 Infection from Chest CT Images von Malliga, Dr. S., Kogilavani, Dr. S. V., Deepti, R., Krishnan, S. Gowtham, Adhithiya, G. J.

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Mid-Trimester Fetal Anterior Abdominal Wall Subcutaneous Tissue Thickness: An Early Ultrasonographic Predictor of Gestational Diabetes Mellitus von Seth, Isha, Aiyappan, Ram K, Singh, Sunayana, Seth, Aditya, Sharma, Deepti, K, Janu M, Krishnan, Vivek, Seth, Arushi, Yadav, Chander Mohan, Jain, Harsh

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