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2020 – today
- 2023
[c10]Shital Yelne, Vikram Melapudi, Aladahalli M. Chandan Kumar, K. S. Shriram:
Scanner Agnostic Ultrasound Image Interpretation. EMBC 2023: 1-4- [c9]Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar:
Task-Driven Prompt Evolution for Foundation Models. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 256-264 - [i3]Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar:
Task-driven Prompt Evolution for Foundation Models. CoRR abs/2310.17128 (2023) - [i2]Deepa Anand, Gurunath Reddy M, Vanika Singhal, Dattesh D. Shanbhag, K. S. Shriram, Uday Patil, Chitresh Bhushan, Kavitha Manickam, Dawei Gui, Rakesh Mullick, Avinash Gopal, Parminder Bhatia, Taha A. Kass-Hout:
One-shot Localization and Segmentation of Medical Images with Foundation Models. CoRR abs/2310.18642 (2023) - 2022
- [j1]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 485: 36-46 (2022) - 2021
- [c8]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) 2021: 325-334 - 2020
- [i1]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR abs/2011.05186 (2020)
2010 – 2019
- 2016
- [c7]Arathi Sreekumari, K. S. Shriram, Vivek Vaidya:
Breast lesion detection and characterization with 3D features. EMBC 2016: 4101-4104 - [c6]Sheshadri R. Thiruvenkadam, K. S. Shriram, Bhushan D. Patil, Gogin Nicolas, Maxime Teisseire, Cyril Cardon, Jérôme F. Knoplioch, Navneeth Subramanian, Sandeep Kaushik, Rakesh Mullick:
GPNLPerf: Robust 4d Non-rigid Motion Correction for Myocardial Perfusion Analysis. MICCAI (3) 2016: 255-263 - 2015
- [c5]Aladahalli M. Chandan Kumar, K. S. Shriram:
Automated scoring of fetal abdomen ultrasound scan-planes for biometry. ISBI 2015: 862-865 - 2013
- [c4]Dhruv Agarwal, K. S. Shriram, Navneeth Subramanian:
Automatic view classification of echocardiograms using Histogram of Oriented Gradients. ISBI 2013: 1368-1371
2000 – 2009
- 2008
- [c3]K. S. Shriram, Srikanth Suryanarayanan, Vivek Vaidya, Rajagopalan Srinivasan:
Unbiased multiple-subject alignment of left ventricles. ISBI 2008: 1441-1444 - [c2]Rajagopalan Srinivasan, K. S. Shriram, Srikanth Suryanarayanan:
Unbiased Stratification of Left Ventricles. MICCAI (1) 2008: 551-558 - 2006
- [c1]S. Suryanarayanan, A. Gopinath, Yogish Mallya, K. S. Shriram, M. Joshi:
Automatic tracking of neuro vascular tree paths. Image Processing 2006: 61444N
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