Extraction of medically interpretable features for classification of malignancy in breast thermography H Madhu, ST Kakileti, K Venkataramani, S Jabbireddy 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 51 | 2016 |
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics ST Kakileti, HJ Madhu, G Manjunath, L Wee, A Dekker, S Sampangi Artificial Intelligence in Medicine 105, 101854, 2020 | 45 | 2020 |
Exploring Deep Learning Networks for Tumour Segmentation in Infrared Images A Dalmia, ST Kakileti, G Manjunath 14th Quantitative InfraRed Thermography Conference (QIRT), 2018 | 39* | 2018 |
Advances in breast thermography ST Kakileti, G Manjunath, H Madhu, HV Ramprakash New Perspectives in Breast Imaging, 91, 2017 | 35 | 2017 |
Observational study to evaluate the clinical efficacy of thermalytix for detecting breast cancer in symptomatic and asymptomatic women ST Kakileti, HJ Madhu, L Krishnan, G Manjunath, S Sampangi, ... JCO global oncology 6, 1472-1480, 2020 | 30 | 2020 |
Cascaded CNN for view independent breast segmentation in thermal images ST Kakileti, G Manjunath, HJ Madhu 2019 41st annual international conference of the IEEE engineering in …, 2019 | 25 | 2019 |
Automated blood vessel extraction in two-dimensional breast thermography ST Kakileti, K Venkataramani 2016 IEEE International Conference on Image Processing (ICIP), 380-384, 2016 | 16 | 2016 |
Thermalytix: an advanced artificial intelligence based solution for non-contact breast screening S Sudhakar, M Geetha, K Siva Teja, M Himanshu International Journal of Medical and Health Sciences 12 (2), 48-51, 2018 | 10 | 2018 |
A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to … R Bansal, S Collison, L Krishnan, B Aggarwal, M Vidyasagar, ST Kakileti, ... Frontiers in Artificial Intelligence 5, 1050803, 2023 | 7 | 2023 |
Classifying hormone receptor status of malignant tumorous tissue from breast thermographic images K Venkataramani, ST Kakileti, HJ Madhu US Patent 10,368,846, 2019 | 6 | 2019 |
Thermography-based breast cancer screening using a measure of symmetry K Venkataramani, S Jabbireddy, HJ Madhu, ST Kakileti, HV Ramprakash US Patent 10,307,141, 2019 | 6 | 2019 |
Blood vessel extraction in two-dimensional thermography ST Kakileti US Patent 10,198,670, 2019 | 6 | 2019 |
Automated thermal screening for COVID-19 using machine learning P Katte, ST Kakileti, HJ Madhu, G Manjunath MICCAI Workshop on Medical Image Assisted Blomarkers' Discovery, 73-82, 2022 | 5 | 2022 |
Privacy booth for breast cancer screening ST Kakileti, G Manjunath, K Venkataramani US Patent 10,827,930, 2020 | 5 | 2020 |
Robust estimation of breast cancer incidence risk in presence of incomplete or inaccurate information ST Kakileti, G Manjunath, A Dekker, L Wee Asian Pacific journal of cancer prevention: APJCP 21 (8), 2307, 2020 | 5 | 2020 |
AIM for breast thermography ST Kakileti, G Manjunath Artificial Intelligence in Medicine, 1-16, 2020 | 5 | 2020 |
Automatic determination of hormone receptor status in breast cancer using thermography ST Kakileti, K Venkataramani, HJ Madhu International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 5 | 2016 |
Machine learning for breast cancer diagnosis in Developing Countries ST Kakileti ProefschriftMaken, 2020 | 4 | 2020 |
Thermal radiomics for improving the interpretability of breast cancer detection from thermal images R Shrivastava, ST Kakileti, G Manjunath MICCAI Workshop on Medical Image Assisted Blomarkers' Discovery, 3-9, 2022 | 3 | 2022 |
Automated vascular analysis of breast thermograms with interpretable features ST Kakileti, R Shrivastava, G Manjunath, M Vidyasagar, A Graewingholt Journal of Medical Imaging 9 (4), 044502-044502, 2022 | 3 | 2022 |