Items where Author is "Gudigar, Anjan"

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Number of items: 10.

Article

Gudigar, Anjan and Kadri, Nahrizul Adib and Raghavendra, U. and Samanth, Jyothi and Inamdar, Mahesh Anil and Prabhu, Mukund A. and Acharya, U. Rajendra (2024) Directional-guided motion sensitive descriptor for automated detection of hypertension using ultrasound images. IEEE Access, 12. pp. 3659-3671. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2023.3349090.

Sudarshan, Vidya K. and Raghavendra, U. and Gudigar, Anjan and Ciaccio, Edward J. and Vijayananthan, Anushya and Sahathevan, Ramesh and Acharya, U. Rajendra (2022) Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review. Biocybernetics and Biomedical Engineering, 42 (3). pp. 888-901. ISSN 0208-5216, DOI https://doi.org/10.1016/j.bbe.2022.07.001.

Raghavendra, U. and Wei, Joel Koh En and Gudigar, Anjan and Shetty, Akanksha and Samanth, Jyothi and Paramasivam, Ganesh and Jagadish, Sujay and Kadri, Nahrizul Adib and Karabatak, Murat and Yildirim, Ozal and Arunkumar, N. and Ardakani, Ali Abbasian (2022) Automated diagnosis and assessment of cardiac structural alteration in hypertension ultrasound images. Contrast media & molecular imaging, 2022. ISSN 1555-4309, DOI https://doi.org/10.1155/2022/5616939.

Kora, Padmavathi and Ooi, Chui Ping and Faust, Oliver and Raghavendra, U. and Gudigar, Anjan and Chan, Wai Yee and Meenakshi, K. and Swaraja, K. and Plawiak, Pawel and Acharya, U. Rajendra (2022) Transfer learning techniques for medical image analysis: A review. Biocybernetics and Biomedical Engineering, 42 (1). pp. 79-107. ISSN 0208-5216, DOI https://doi.org/10.1016/j.bbe.2021.11.004.

Maithri, M. and Ballal, Dhanush G. and Kumar, Santhosh and Raghavendra, U. and Gudigar, Anjan and Chan, Wai Yee and Macherla, Shravya and Vineetha, Ravindranath and Gopalkrishna, Pratibha and Ciaccio, Edward J. and Acharya, U. Rajendra (2022) Development of a computational tool for the estimation of alveolar bone loss in oral radiographic images. Computation, 10 (1). ISSN 2079-3197, DOI https://doi.org/10.3390/computation10010008.

Gudigar, Anjan and Raghavendra, Udupi and Nayak, Sneha and Ooi, Chui Ping and Chan, Wai Yee and Gangavarapu, Mokshagna Rohit and Dharmik, Chinmay and Samanth, Jyothi and Kadri, Nahrizul Adib and Hasikin, Khairunnisa and Barua, Prabal Datta and Chakraborty, Subrata and Ciaccio, Edward J. and Acharya, U. Rajendra (2021) Role of artificial intelligence in COVID-19 detection. Sensors, 21 (23). ISSN 1424-8220, DOI https://doi.org/10.3390/s21238045.

Inamdar, Mahesh Anil and Raghavendra, Udupi and Gudigar, Anjan and Chakole, Yashas and Hegde, Ajay and Menon, Girish R. and Barua, Prabal and Palmer, Elizabeth Emma and Cheong, Kang Hao and Chan, Wai Yee and Ciaccio, Edward J. and Acharya, U. Rajendra (2021) A review on computer aided diagnosis of acute brain stroke. Sensors, 21 (24). ISSN 1424-8220, DOI https://doi.org/10.3390/s21248507.

Raghavendra, U. and Gudigar, Anjan and Ciaccio, Edward J. and Ng, Kwan Hoong and Chan, Wai Yee and Rahmat, Kartini and Acharya, U. Rajendra (2021) 2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer. Expert Systems, 38 (6). ISSN 0266-4720, DOI https://doi.org/10.1111/exsy.12474.

Pham, The-Hanh and Raghavendra, U. and Koh, Joel En Wei and Gudigar, Anjan and Chan, Wai Yee and Hamid, Marlina Tanty Ramli and Rahmat, Kartini and Fadzli, Farhana and Ng, Kwan Hoong and Ooi, Chui Ping and Ciaccio, Edward J. and Fujita, Hamido and Acharya, U. Rajendra (2021) Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images. Journal of Ambient Intelligence and Humanized Computing, 12 (2). pp. 2121-2129. ISSN 1868-5137, DOI https://doi.org/10.1007/s12652-020-02310-6.

Raghavendra, U. and Gudigar, Anjan and Maithri, Mangalore and Gertych, Arkadiusz and Meiburger, Kristen Mariko and Yeong, Chai Hong and Madla, Chakri and Kongmebhol, Pailin and Molinari, Filippo and Ng, Kwan Hoong and Acharya, U. Rajendra (2018) Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. Computers in Biology and Medicine, 95. pp. 55-62. ISSN 0010-4825, DOI https://doi.org/10.1016/j.compbiomed.2018.02.002.

This list was generated on Thu Oct 10 01:07:39 2024 +08.