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ORCIDSiva Teja Kakileti
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Journal Articles
- 2022
[j3]Richa Bansal, Sathiakar Collison, Lakshmi Krishnan
, Bharat Aggarwal, Mathukumalli Vidyasagar, Siva Teja Kakileti, Geetha Manjunath:
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 a secondary care hospital. Frontiers Artif. Intell. 5 (2022)- 2020
- [j2]Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath, Leonard Wee, Andre Dekker, Sudhakar Sampangi:
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics. Artif. Intell. Medicine 105: 101854 (2020) - [j1]Siva Teja Kakileti, Himanshu Madhu, Thara Subramoni, Geetha Manjunath:
Thermalytix: using AI to save lives. XRDS 26(3): 38-41 (2020)
Conference and Workshop Papers
- 2024
- [c12]Ronak Dedhiya, Rajas V. Prasad, Siva Teja Kakileti, Geetha Manjunath:
Thermal Radiomics for Early Detection of Diabetic Foot Ulcers Using Infrared Thermography. AIIIMA 2024: 1-10 - [c11]Bharath Govindaraju, Siva Teja Kakileti:
Generative Artificial Intelligence Approaches for Synthesizing High-Fidelity Breast Thermal Images. AIIIMA 2024: 33-43 - 2023
- [c10]Arka Prabha Saha, Siva Teja Kakileti, Ronak Dedhiya, Geetha Manjunath:
3D-BreastNet: A Self-supervised Deep Learning Network for Reconstruction of 3D Breast Surface from 2D Thermal Images. AIIIMA@MICCAI 2023: 32-44 - 2022
- [c9]Ronak Dedhiya, Siva Teja Kakileti, Goutham Deepu, Kanchana Gopinath, Nicholas Opoku, Christopher King, Geetha Manjunath:
Evaluation of Non-Invasive Thermal Imaging for Detection of Viability of Onchocerciasis Worms. EMBC 2022: 3518-3521 - [c8]Raghav Shrivastava, Siva Teja Kakileti, Geetha Manjunath:
Thermal Radiomics for Improving the Interpretability of Breast Cancer Detection from Thermal Images. AIIIMA/MIABID@MICCAI 2022: 3-9 - [c7]Pratik Katte, Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath:
Automated Thermal Screening for COVID-19 Using Machine Learning. AIIIMA/MIABID@MICCAI 2022: 73-82 - [c6]Ronak Dedhiya, Siva Teja Kakileti, Kanchana Gopinath, Agbogah Edem, Bismark Donkor, Abdulai Mahmood Seidu, Simon K. Attah, Christopher L. King, Nicholas Opoku, Geetha Manjunath:
Non-invasive Thermal Imaging for Estimation of the Fecundity of Live Female Onchocerca Worms. AIIIMA/MIABID@MICCAI 2022: 102-110 - 2019
- [c5]Siva Teja Kakileti, Geetha Manjunath, Himanshu J. Madhu:
Cascaded CNN for View Independent Breast Segmentation in Thermal Images. EMBC 2019: 6294-6297 - 2016
- [c4]Himanshu Madhu, Siva Teja Kakileti, Krithika Venkataramani, Susmija Jabbireddy:
Extraction of medically interpretable features for classification of malignancy in breast thermography. EMBC 2016: 1062-1065 - [c3]Siva Teja Kakileti, Krithika Venkataramani:
Automated blood vessel extraction in two-dimensional breast thermography. ICIP 2016: 380-384 - [c2]Siva Teja Kakileti, Krithika Venkataramani, Himanshu Madhu:
Automatic Determination of Hormone Receptor Status in Breast Cancer Using Thermography. MICCAI (1) 2016: 636-643 - 2015
- [c1]Dhruva Kartik, Siva Teja Kakileti, Sanjay K. Bose, Gangxiang Shen:
Link-state routing protocol for flow optimization in delay-constrained queueing networks. ICICS 2015: 1-5
Editorship
- 2025
- [e3]Siva Teja Kakileti, Geetha Manjunath, Robert G. Schwartz, Eddie Y. K. Ng:
Artificial Intelligence over Infrared Images for Medical Applications - Third International Conference, AIIIMA 2024, Virtual Event, November 9, 2024, Proceedings. Lecture Notes in Computer Science 15279, Springer 2025, ISBN 978-3-031-76583-4 [contents] - 2023
- [e2]Siva Teja Kakileti, Geetha Manjunath, Robert G. Schwartz, Alejandro F. Frangi:
Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023) - Second International Workshop Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2, 2023, Proceedings. Lecture Notes in Computer Science 14298, Springer 2023, ISBN 978-3-031-45657-2 [contents] - 2022
- [e1]Siva Teja Kakileti, Maria Gabrani, Geetha Manjunath, Michal Rosen-Zvi, Nathaniel Braman, Robert G. Schwartz, Alejandro F. Frangi, Pau-Choo Chung, Christopher Weight, Vekataraman Jagadish:
Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13602, Springer 2022, ISBN 978-3-031-19659-1 [contents]
Informal and Other Publications
- 2022
- [i2]Ronak Dedhiya, Siva Teja Kakileti, Goutham Deepu, Kanchana Gopinath, Nicholas Opoku, Christopher King, Geetha Manjunath:
Evaluation of Non-Invasive Thermal Imaging for detection of Viability of Onchocerciasis worms. CoRR abs/2203.12620 (2022) - [i1]Pratik Katte, Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath:
Automated Thermal Screening for COVID-19 using Machine Learning. CoRR abs/2203.14128 (2022)
Coauthor Index
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