| Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular histopathology S Mittal, K Yeh, LS Leslie, S Kenkel, A Kajdacsy-Balla, R Bhargava Proceedings of the National Academy of Sciences 115 (25), E5651-E5660, 2018 | 142 | 2018 |
| All-digital histopathology by infrared-optical hybrid microscopy M Schnell, S Mittal, K Falahkheirkhah, A Mittal, K Yeh, S Kenkel, ... Proceedings of the National Academy of Sciences 117 (7), 3388-3396, 2020 | 105 | 2020 |
| Guidance for performing multivariate data analysis of bioprocessing data: pitfalls and recommendations AS Rathore, S Mittal, M Pathak, A Arora Biotechnology Progress 30 (4), 967-973, 2014 | 54 | 2014 |
| Closed-loop atomic force microscopy-infrared spectroscopic imaging for nanoscale molecular characterization S Kenkel, S Mittal, R Bhargava Nature Communications 11 (1), 3225, 2020 | 41 | 2020 |
| Probe–sample interaction-independent atomic force microscopy–infrared spectroscopy: toward robust nanoscale compositional mapping S Kenkel, A Mittal, S Mittal, R Bhargava Analytical chemistry 90 (15), 8845-8855, 2018 | 41 | 2018 |
| Chemometrics application in biotech processes: assessing comparability across processes and scales AS Rathore, S Mittal, M Pathak, V Mahalingam Journal of Chemical Technology & Biotechnology 89 (9), 1311-1316, 2014 | 32 | 2014 |
| Digital assessment of stained breast tissue images for comprehensive tumor and microenvironment analysis S Mittal, C Stoean, A Kajdacsy-Balla, R Bhargava Frontiers in bioengineering and biotechnology 7, 246, 2019 | 26 | 2019 |
| Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data DM Mayerich, M Walsh, A Kadjacsy-Balla, S Mittal, R Bhargava Medical Imaging 2014: Digital Pathology 9041, 38-44, 2014 | 26 | 2014 |
| Chemometrics applications in biotechnology processes: predicting column integrity and impurity clearance during reuse of chromatography resin AS Rathore, S Mittal, S Lute, K Brorson Biotechnology progress 28 (5), 1308-1314, 2012 | 25 | 2012 |
| Deep learning-based protocols to enhance infrared imaging systems K Falahkheirkhah, K Yeh, S Mittal, L Pfister, R Bhargava Chemometrics and Intelligent Laboratory Systems 217, 104390, 2021 | 22 | 2021 |
| Defined host–guest chemistry on nanocarbon for sustained inhibition of cancer F Ostadhossein, SK Misra, P Mukherjee, A Ostadhossein, E Daza, ... Small 12 (42), 5845-5861, 2016 | 22 | 2016 |
| Characterization of the structure of low-e substrates and consequences for IR transflection measurements BM DeVetter, S Kenkel, S Mittal, R Bhargava, TP Wrobel Vibrational Spectroscopy 91, 119-127, 2017 | 21 | 2017 |
| Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on … J Thagaard, G Broeckx, DB Page, CA Jahangir, S Verbandt, Z Kos, ... The Journal of pathology 260 (5), 498-513, 2023 | 14 | 2023 |
| A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imaging S Mittal, TP Wrobel, LS Leslie, A Kadjacsy-Balla, R Bhargava Medical Imaging 2016: Digital Pathology 9791, 310-317, 2016 | 13 | 2016 |
| Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast … DB Page, G Broeckx, CA Jahangir, S Verbandt, RR Gupta, J Thagaard, ... The Journal of pathology 260 (5), 514-532, 2023 | 12 | 2023 |
| A comparison of mid-infrared spectral regions on accuracy of tissue classification S Mittal, R Bhargava Analyst 144 (8), 2635-2642, 2019 | 10 | 2019 |
| Breast cancer histopathology using infrared spectroscopic imaging: The impact of instrumental configurations S Mittal, TP Wrobel, M Walsh, A Kajdacsy-Balla, R Bhargava Clinical Spectroscopy 3, 100006, 2021 | 9 | 2021 |
| A fully automated, faster noise rejection approach to increasing the analytical capability of chemical imaging for digital histopathology S Gupta, S Mittal, A Kajdacsy-Balla, R Bhargava, C Bajaj PloS one 14 (4), e0205219, 2019 | 8 | 2019 |
| Comparative evaluation of intrusion and root resorption using Burstone and Connecticut intrusion arches—a in vivo study M Verma, AB Chithranjan, S Padmanaban, S Mittal J Indian Orthod Soc 44 (3), 4-11, 2010 | 7 | 2010 |
| A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging K Falahkheirkhah, K Yeh, S Mittal, L Pfister, R Bhargava arXiv preprint arXiv:1911.04410, 2019 | 4 | 2019 |
Kevin YehPostdoctoral Researcher, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
