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Journal Articles
- 2006
[j1]Shehan Perera, Harsha R. Sirisena, Krzysztof Pawlikowski:
Optimal Packetization Interval for VoIP Applications Over IEEE 802.16 Networks. Afr. J. Inf. Commun. Technol. 2(4) (2006)
Conference and Workshop Papers
- 2024
- [c10]Shehan Perera, Pouyan Navard, Alper Yilmaz:
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation. CVPR Workshops 2024: 4981-4988 - 2022
- [c9]Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Shehan Perera, Madhavi Perera:
Learning Sentence Embeddings In The Legal Domain with Low Resource Settings. PACLIC 2022: 494-502 - 2021
- [c8]Michael Karnes, Shehan Perera, Srikar Adhikari, Alper Yilmaz:
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System. BioCAS 2021: 1-6 - [c7]Kevin Potter, Steven Sleder, Matthew Smith, Shehan Perera, Alper Yilmaz, John Tencer:
Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks. ICCVW 2021: 904-912 - [c6]Shehan Perera, Srikar Adhikari, Alper Yilmaz:
Pocformer: A Lightweight Transformer Architecture For Detection Of Covid-19 Using Point Of Care Ultrasound. ICIP 2021: 195-199 - 2019
- [c5]Amila De Silva, Shehan Perera:
A Parallel Bit-map based Framework for Classification Algorithms. DATA 2019: 259-266 - 2012
- [c4]Madhura Jayaratne
, Isuru Haththotuwa, Charitha Dandeniya Arachchi, Shehan Perera, Dilina Fernando, Sajith Weerakoon:
iSeS: intelligent semantic search framework. EATIS 2012: 215-222 - 2010
- [c3]BuddhikaDe Alwis, Supun Malinga, Pradeeban Kathiravelu, Denis Weerasiri, Shehan Perera:
Horizontal format data mining with extended bitmaps. SoCPaR 2010: 220-223 - [c2]Sajith Weerakoon, Rohan Wickramasinghe, Erangi De Costa, Manisha Eleperuma, Shehan Perera, Sanath Jayasena:
Semantic Metadata Extraction Using XemanticA Analysis. SWWS 2010: 178-183 - 2007
- [c1]Shehan Perera, Harsha R. Sirisena:
Analysis of contention based access for best effort traffic on fixed WiMAX. BROADNETS 2007: 552-558
Informal and Other Publications
- 2024
- [i4]Shehan Perera, Pouyan Navard, Alper Yilmaz:
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation. CoRR abs/2404.10156 (2024) - [i3]Shehan Perera, Yunus Erzurumlu, Deepak Gulati, Alper Yilmaz:
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation. CoRR abs/2409.03062 (2024) - 2021
- [i2]Shehan Perera, Srikar Adhikari, Alper Yilmaz:
POCFormer: A Lightweight Transformer Architecture for Detection of COVID-19 Using Point of Care Ultrasound. CoRR abs/2105.09913 (2021) - [i1]Michael Karnes, Shehan Perera, Srikar Adhikari, Alper Yilmaz:
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System. CoRR abs/2109.03793 (2021)
Coauthor Index
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