Kalra, Mannudeep K.

Low-dose CT image denoising using a generative adversarial network with wasserstein distance and perceptual loss.

Yang, Q., Yan, P., Zhang, Y., Yu, H., Shi, Y., Mou, X., Kalra, M. K., Zhang, Y., Sun, L., & Wang, G. (2018) · IEEE Transactions on Medical Imaging

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 1,630

Economics of artificial intelligence in healthcare: Diagnosis vs. treatment

Khanna, N. N., Maindarkar, M. A., Viswanathan, V., Fernandes, J. F. E., Paul, S., Bhagawati, M., Ahluwalia, P., Ruzsa, Z., Sharma, A., Kolluri, R., et al. (2022) · Healthcare

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 347

Deep learning in chest radiography: Detection of findings and presence of change

Singh, R., Kalra, M. K., Nitiwarangkul, C., Patti, J. A., Homayounieh, F., Padole, A., Rao, P., Putha, P., Muse, V. V., Sharma, A., et al. (2018) · PLOS ONE

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 195

Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency

Ahn, J. S., Ebrahimian, S., McDermott, S., Lee, S., Naccarato, L., Di Capua, J. F., Wu, M. Y., Zhang, E. W., Muse, V., Miller, B., et al. (2022) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 138

FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies

Ebrahimian, S., Kalra, M. K., Agarwal, S., Bizzo, B. C., Elkholy, M., Wald, C., Allen, B., & Dreyer, K. J. (2022) · Academic Radiology

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 120

An artificial intelligence-based chest x-ray model on human nodule detection accuracy from a multicenter study

Homayounieh, F., Digumarthy, S., Ebrahimian, S., Rueckel, J., Hoppe, B. F., Sabel, B. O., Conjeti, S., Ridder, K., Sistermanns, M., Wang, L., et al. (2021) · JAMA Network Open

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 113

Adrenocortical carcinoma: contrast washout characteristics on CT

Slattery, J. M. A., Blake, M. A., Kalra, M. K., Misdraji, J., Sweeney, A. T., Copeland, P. M., Mueller, P. R., & Boland, G. W. (2006) · American Journal of Roentgenology

Adrenal and Paraganglionic TumorsRenal cell carcinoma treatment

Cited by 81

Revisiting the Trustworthiness of Saliency Methods in Radiology AI

Zhang, J., Chao, H., Dasegowda, G., Wang, G., Kalra, M. K., & Yan, P. (2024) · Radiology: Artificial Intelligence

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 57

CT Images of Abdomen and Pelvis: Effect of Nonlinear Three-dimensional Optimized Reconstruction Algorithm on Image Quality and Lesion Characteristics

Rizzo, S. M. R., Kalra, M. K., Schmidt, B., Raupach, R., Maher, M. M., Blake, M. A., & Saini, S. (2005) · Radiology

Radiation Dose and ImagingMedical Imaging Techniques and Applications

Cited by 51

Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai)Bias 2.0: A Systematic Review

Suri, J. S., Agarwal, S., Jena, B., Saxena, S., El-Baz, A., Agarwal, V., Kalra, M. K., Saba, L., Viskovic, K., Fatemi, M., et al. (2024) · IEEE Transactions on Instrumentation and Measurement

COVID-19 diagnosis using AIMeta-analysis and systematic reviews

Cited by 38

Errare Humanum Est: Frequency of Laterality Errors in Radiology Reports

Sangwaiya, M. J., Saini, S., Blake, M. A., Dreyer, K. J., & Kalra, M. K. (2009) · American Journal of Roentgenology

Radiology practices and educationPatient Safety and Medication Errors

Cited by 37

Characterization of Benign and Malignant Pancreatic Lesions with DECT Quantitative Metrics and Radiomics

Ebrahimian, S., Singh, R., Netaji, A., Madhusudhan, K. S., Homayounieh, F., Primak, A., Lades, F., Saini, S., Kalra, M. K., & Sharma, S. (2022) · Academic Radiology

Radiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT Imaging

Cited by 25

Assessing Laterality Errors in Radiology: Comparing Generative Artificial Intelligence and Natural Language Processing

Kathait, A. S., Garza-Frias, E., Sikka, T., Schultz, T. J., Bizzo, B., Kalra, M. K., & Dreyer, K. J. (2024) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 11