| Automated quantification of CT patterns associated with COVID-19 from chest CT S Chaganti, P Grenier, A Balachandran, G Chabin, S Cohen, T Flohr, ... Radiology: Artificial Intelligence 2 (4), e200048, 2020 | 179 | 2020 |
| Quantifying and leveraging predictive uncertainty for medical image assessment FC Ghesu, B Georgescu, A Mansoor, Y Yoo, E Gibson, RS Vishwanath, ... Medical Image Analysis 68, 101855, 2021 | 68 | 2021 |
| Artificial intelligence in chest radiography reporting accuracy: added clinical value in the emergency unit setting without 24/7 radiology coverage J Rudolph, C Huemmer, FC Ghesu, A Mansoor, A Preuhs, A Fieselmann, ... Investigative radiology 57 (2), 90-98, 2022 | 34 | 2022 |
| 3d tomographic pattern synthesis for enhancing the quantification of covid-19 S Liu, B Georgescu, Z Xu, Y Yoo, G Chabin, S Chaganti, S Grbic, S Piat, ... arXiv preprint arXiv:2005.01903, 2020 | 18 | 2020 |
| Quantification of tomographic patterns associated with COVID-19 from chest CT S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, B Georgescu, ... arXiv preprint arXiv:2004.01279, 2020 | 18 | 2020 |
| Artificial intelligence with statistical confidence scores for detection of acute or subacute hemorrhage on noncontrast CT head scans E Gibson, B Georgescu, P Ceccaldi, PH Trigan, Y Yoo, J Das, TJ Re, V Rs, ... Radiology: Artificial Intelligence 4 (3), e210115, 2022 | 12 | 2022 |
| Automated quantification of airway wall thickness on chest CT using retina U-Nets–Performance evaluation and application to a large cohort of chest CTs of COPD patients T Weikert, L Friebe, A Wilder-Smith, S Yang, JI Sperl, D Neumann, ... European Journal of Radiology 155, 110460, 2022 | 9 | 2022 |
| Quantification of tomographic patterns associated with COVID-19 from chest CT. ArXiv S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, S Liu, F Mellot, ... arXiv preprint arXiv:2004.01279, 2020 | 7 | 2020 |
| Role of penile color doppler in the evaluation of erectile dysfunction A Suresh, A Balachandran, N Indira, HV Ramprakash INTERNATIONAL JOURNAL OF SCIENTIFIC STUDY 3 (7), 23-32, 2015 | 7 | 2015 |
| Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans NP Nguyen, Y Yoo, A Chekkoury, E Eibenberger, TJ Re, J Das, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 487-495, 2021 | 6 | 2021 |
| Quantification of tomographic patterns associated with COVID-19 from chest CT. arXiv 2020 S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, B Georgescu, ... arXiv preprint arXiv:2004.01279, 2020 | 5 | 2020 |
| Multi-scale self-supervised learning for longitudinal lesion tracking with optional supervision A Vizitiu, AT Mohaiu, IM Popdan, A Balachandran, FC Ghesu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Evaluation of a deep learning based aortic diameter quantification system against multi-reader consensus measurement A Ali, A Balachandran, RS Vishwanath, A Barthur, JL Wichmann, S Cimen, ... European Congress of Radiology-ECR 2020, 2020 | 1 | 2020 |
| Gadolinium-based Contrast Agents: Evaluation of Effect On Renal Function Parameters A Balachandran, P Kala, S Ashwathappa, M Varunya, R Kollu, R HV International Journal of Contemporary Medicine Surgery and Radiology 3 (1 …, 2018 | 1 | 2018 |
| Quantification of body composition using contrastive learning in ct images L Philipp, B Georgescu, B Geiger, S Grbic, A Balachandran US Patent App. 18/315,762, 2024 | | 2024 |
| Artificial Intelligence in Chest Radiography Reporting Accuracy A Balachandran, S Goller, V Koliogiannis, J Dinkel, A Mansoor, ... Investigative Radiology 57, 90-98, 2021 | | 2021 |
| Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on … E Mortani Barbosa Jr, WB Gefter, R Yang, FC Ghesu, S Liu, B Mailhe, ... arXiv e-prints, arXiv: 2008.06330, 2020 | | 2020 |
| Evaluation of a Deep Learning-based Automated CT Coronary Artery Calcium Quantification Technique from Non-Gated CT Images M van Assen, SS Martin, UJ Schoepf, A Varga-Szemes, S Cimen, ... European Congress of Radiology-ECR 2020, 2020 | | 2020 |
| Pictorial assay of MRI imaging findings in Pott's Spine K Tyagi, M Varunya, A Balachandran, S Ashwathappa, R HV European Congress of Radiology-ECR 2018, 2018 | | 2018 |
| Guideline to reporting of MRI Lumbar Spine N Ghoriwala, A Nadamani, M Varunya, A Balachandran, S Ashwathappa, ... European Congress of Radiology-ECR 2018, 2018 | | 2018 |
