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Siva Teja Kakileti
Siva Teja Kakileti
Principal Research Scientist at Niramai Health Analytix, PhD @ Maastricht University
Verified email at niramai.com - Homepage
Title
Cited by
Cited by
Year
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
512016
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
452020
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
352017
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
302020
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
252019
Automated blood vessel extraction in two-dimensional breast thermography
ST Kakileti, K Venkataramani
2016 IEEE International Conference on Image Processing (ICIP), 380-384, 2016
162016
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
102018
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
72023
Classifying hormone receptor status of malignant tumorous tissue from breast thermographic images
K Venkataramani, ST Kakileti, HJ Madhu
US Patent 10,368,846, 2019
62019
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
62019
Blood vessel extraction in two-dimensional thermography
ST Kakileti
US Patent 10,198,670, 2019
62019
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
52022
Privacy booth for breast cancer screening
ST Kakileti, G Manjunath, K Venkataramani
US Patent 10,827,930, 2020
52020
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
52020
AIM for breast thermography
ST Kakileti, G Manjunath
Artificial Intelligence in Medicine, 1-16, 2020
52020
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
52016
Machine learning for breast cancer diagnosis in Developing Countries
ST Kakileti
ProefschriftMaken, 2020
42020
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
32022
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
32022
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