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2020 – today
- 2023
[j3]Sudhakar Tummala
, Anil K. Suresh:
Few-shot learning using explainable Siamese twin network for the automated classification of blood cells. Medical Biol. Eng. Comput. 61(6): 1549-1563 (2023)- [c5]Israt Tasnim, Priscella Asman, Swamy Chandra Prakash, Sudhakar Tummala, Sujit Prabhu, Nuri Firat Ince:
Microcontroller-Based Low Latency Audio System to Study Cortical Auditory Evoked Potentials: Applications with Intraoperative Language Mapping. NER 2023: 1-4 - 2022
- [c4]Priscella Asman, Sujit Prabhu, Sudhakar Tummala, Nuri F. Ince:
Real-Time Delineation of the Central Sulcus with the Spatial Profile of SSEPs Captured with High-Density Ecog Grid. EMBC 2022: 4892-4895 - 2021
- [j2]Sudhakar Tummala, Venkata Sainath Gupta Thadikemalla, Barbara A. K. Kreilkamp, Erik B. Dam, Niels K. Focke:
Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning. Comput. Biol. Medicine 139: 104997 (2021) - [c3]Sudhakar Tummala, Niels K. Focke:
Machine Learning Framework For Fully Automatic Quality Checking Of Rigid And Affine Registrations In Big Data Brain MRI. ISBI 2021: 1734-1737
2010 – 2019
- 2013
- [c2]Max W. K. Law, Gregory J. Garvin, Sudhakar Tummala, KengYeow Tay, Andrew E. Leung, Shuo Li:
Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords. IPMI 2013: 49-61 - 2012
- [j1]Sudhakar Tummala, Mads Nielsen, Martin Lillholm, Claus Christiansen, Erik B. Dam:
Automatic Quantification of Tibio-Femoral Contact Area and Congruity. IEEE Trans. Medical Imaging 31(7): 1404-1412 (2012) - 2010
- [c1]Sudhakar Tummala, Erik B. Dam:
Surface smoothness: cartilage biomarkers for knee OA beyond the radiologist. Image Processing 2010: 762323
Coauthor Index
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