| Bronchial artery embolization in hemoptysis: a systematic review A Panda, AS Bhalla, A Goyal Diagnostic and Interventional Radiology 23 (4), 307, 2017 | 257 | 2017 |
| Magnetic resonance fingerprinting–an overview A Panda, BB Mehta, S Coppo, Y Jiang, D Ma, N Seiberlich, MA Griswold, ... Current opinion in biomedical engineering 3, 56-66, 2017 | 126 | 2017 |
| Skeletal dysplasias: a radiographic approach and review of common non-lethal skeletal dysplasias A Panda, S Gamanagatti, M Jana, AK Gupta World journal of radiology 6 (10), 808, 2014 | 114 | 2014 |
| Traumatic diaphragmatic injury: a review of CT signs and the difference between blunt and penetrating injury A Panda, A Kumar, S Gamanagatti, A Patil, S Kumar, A Gupta Diagnostic and interventional radiology 20 (2), 121, 2014 | 81 | 2014 |
| Imaging of vertebral fractures A Panda, CJ Das, U Baruah Indian journal of endocrinology and metabolism 18 (3), 295-303, 2014 | 77 | 2014 |
| MR fingerprinting and ADC mapping for characterization of lesions in the transition zone of the prostate gland A Panda, VC Obmann, WC Lo, S Margevicius, Y Jiang, M Schluchter, ... Radiology 292 (3), 685-694, 2019 | 74 | 2019 |
| Three-dimensional MR fingerprinting for quantitative breast imaging Y Chen, A Panda, S Pahwa, JI Hamilton, S Dastmalchian, DF McGivney, ... Radiology 290 (1), 33-40, 2019 | 71 | 2019 |
| Radiomics-based machine-learning models can detect pancreatic cancer on prediagnostic computed tomography scans at a substantial lead time before clinical diagnosis S Mukherjee, A Patra, H Khasawneh, P Korfiatis, N Rajamohan, G Suman, ... Gastroenterology 163 (5), 1435-1446. e3, 2022 | 61 | 2022 |
| Blunt pancreatic trauma: a persistent diagnostic conundrum? A Kumar, A Panda, S Gamanagatti World Journal of Radiology 8 (2), 159, 2016 | 59 | 2016 |
| Evaluation of diagnostic utility of multidetector computed tomography and magnetic resonance imaging in blunt pancreatic trauma: a prospective study A Panda, A Kumar, S Gamanagatti, AS Bhalla, R Sharma, S Kumar, ... Acta Radiologica 56 (4), 387-396, 2015 | 59 | 2015 |
| Targeted biopsy validation of peripheral zone prostate cancer characterization with magnetic resonance fingerprinting and diffusion mapping A Panda, G O'Connor, WC Lo, Y Jiang, S Margevicius, M Schluchter, ... Investigative radiology 54 (8), 485-493, 2019 | 52 | 2019 |
| Borderline resectable and locally advanced pancreatic cancer: FDG PET/MRI and CT tumor metrics for assessment of pathologic response to neoadjuvant therapy and prediction of … A Panda, I Garg, MJ Truty, TL Kline, MP Johnson, EC Ehman, G Suman, ... American Journal of Roentgenology 217 (3), 730-740, 2021 | 50 | 2021 |
| Virtopsy computed tomography in trauma: normal postmortem changes and pathologic spectrum of findings A Panda, A Kumar, S Gamanagatti, B Mishra Current problems in diagnostic radiology 44 (5), 391-406, 2015 | 44 | 2015 |
| Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue A Panda, Y Chen, K Ropella‐Panagis, S Ghodasara, M Stopchinski, ... Journal of Magnetic Resonance Imaging 50 (4), 1133-1143, 2019 | 43 | 2019 |
| Perfusion computed tomography in renal cell carcinoma CJ Das, U Thingujam, A Panda, S Sharma, AK Gupta World journal of radiology 7 (7), 170, 2015 | 34 | 2015 |
| T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on … R Shiradkar, A Panda, P Leo, A Janowczyk, X Farre, N Janaki, L Li, ... European radiology 31, 1336-1346, 2021 | 31 | 2021 |
| Two‐stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra‐reader and inter‐reader reliability at full and reduced … A Panda, P Korfiatis, G Suman, SK Garg, EC Polley, DP Singh, ST Chari, ... Medical physics 48 (5), 2468-2481, 2021 | 28 | 2021 |
| Growing teratoma syndrome of ovary: avoiding a misdiagnosis of tumour recurrence A Panda, D Kandasamy, SH Chandrashekhara, M Jana Journal of clinical and diagnostic research: JCDR 8 (1), 197, 2014 | 28 | 2014 |
| Predicting usual interstitial pneumonia histopathology from chest CT imaging with deep learning A Bratt, JM Williams, G Liu, A Panda, PP Patel, L Walkoff, AMG Sykes, ... Chest 162 (4), 815-823, 2022 | 24 | 2022 |
| Assessing nasal soft-tissue envelope thickness for rhinoplasty: normative data and a predictive algorithm JK Dey, CA Recker, MD Olson, AJ Bowen, A Panda, PM Kostandy, ... JAMA Facial Plastic Surgery 21 (6), 511-517, 2019 | 24 | 2019 |
