Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow von Suri, Abhinav

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Partial facial paralysis induced by sialolithiasis of the parotid gland: a case report von Suri, Abhinav, Avila, Stephen, Tan, Christina, Alalami, Huda, Harris, Jennifer

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Disadvantaged groups have greater spatial access to pharmacies in New York state von Suri, Abhinav, Quinn, James, Balise, Raymond R, Feaster, Daniel J, El-Bassel, Nabila, Rundle, Andrew G

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AI as a Second Reader Can Reduce Radiologists' Workload and Increase Accuracy in Screening Mammography von Suri, Abhinav

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From delay to diagnosis: Chronic invasive fungal rhinosinusitis presenting with facial and orbital complications von Suri, Abhinav, Fortes, Precious, Chan, Benjamin H., Sachs, Carolyn J.

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Machine learning‐based mortality prediction in hip fracture patients using biomarkers von Asrian, George, Suri, Abhinav, Rajapakse, Chamith

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A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership von Suri, Abhinav, Askari, Melanie, Calder, Jennifer, Branas, Charles, Rundle, Andrew

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A Comparison of CT-Based Pancreatic Segmentation Deep Learning Models von Suri, Abhinav, Mukherjee, Pritam, Pickhardt, Perry J., Summers, Ronald M.

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A deep learning system for automated, multi-modality 2D segmentation of vertebral bodies and intervertebral discs von Suri, Abhinav, Jones, Brandon C., Ng, Grace, Anabaraonye, Nancy, Beyrer, Patrick, Domi, Albi, Choi, Grace, Tang, Sisi, Terry, Ashley, Leichner, Thomas, Fathali, Iman, Bastin, Nikita, Chesnais, Helene, Rajapakse, Chamith S.

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Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques von Suri, Abhinav, Summers, Ronald M

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Impacts of the New York State COVID‐19 disaster emergency orders on prescription dispensing for opioids and medication for opioid use disorder von Suri, Abhinav, Feaster, Daniel J., Balise, Raymond R., Quinn, James, Nunes, Edward V., Gilbert, Louisa, El‐Bassel, Nabila, Rundle, Andrew G.

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A Comparison of the Different Types of Marketing Strategies Adopted by Multinational Corporations and Local Firms, Overtime and Over Space: Case Study of India as an Emerging Econo... von Suri, Abhinav

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Machine learning predicts cerebral vasospasm in patients with subarachnoid haemorrhageResearch in context von David A. Zarrin, Abhinav Suri, Karen McCarthy, Bilwaj Gaonkar, Bayard R. Wilson, Geoffrey P. Colby, Robert E. Freundlich, Eilon Gabel

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Machine learning predicts cerebral vasospasm in patients with subarachnoid haemorrhage von Zarrin, David A., Suri, Abhinav, McCarthy, Karen, Gaonkar, Bilwaj, Wilson, Bayard R., Colby, Geoffrey P., Freundlich, Robert E., Gabel, Eilon

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Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology von Kahn, Charles E., Suri, Abhinav, Halabi, Safwan, Trivedi, Hari

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The Effects of Perturbed Cerebral Blood Flow and Cerebrovascular Reactivity on Structural MRI and Behavioral Readouts in Mild Traumatic Brain Injury von Long, Justin A, Watts, Lora T, Li, Wei, Shen, Qiang, Muir, Eric R, Huang, Shiliang, Boggs, Robert C, Suri, Abhinav, Duong, Timothy Q

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Conquering the Cobb Angle: A Deep Learning Algorithm for Automated, Hardware-Invariant Measurement of Cobb Angle on Radiographs in Patients with Scoliosis von Suri, Abhinav, Tang, Sisi, Kargilis, Daniel, Taratuta, Elena, Kneeland, Bruce J, Choi, Grace, Agarwal, Alisha, Anabaraonye, Nancy, Xu, Winnie, Parente, James B, Terry, Ashley, Kalluri, Anita, Song, Katie, Rajapakse, Chamith S

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Vertebral Deformity Measurements at MRI, CT, and Radiography Using Deep Learning von Suri, Abhinav, Jones, Brandon C, Ng, Grace, Anabaraonye, Nancy, Beyrer, Patrick, Domi, Albi, Choi, Grace, Tang, Sisi, Terry, Ashley, Leichner, Thomas, Fathali, Iman, Bastin, Nikita, Chesnais, Helene, Taratuta, Elena, Kneeland, Bruce J, Rajapakse, Chamith S

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Computational Thinking von Suri, Abhinav

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Project #2 CNNs and Pneumonia Detection from Chest X-Rays von Suri, Abhinav

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