| Deep 3D convolution neural network for CT brain hemorrhage classification K Jnawali, MR Arbabshirani, N Rao, AA Patel Medical Imaging 2018: Computer-Aided Diagnosis 10575, 307-313, 2018 | 130 | 2018 |
| Automatic cancer tissue detection using multispectral photoacoustic imaging K Jnawali, B Chinni, V Dogra, N Rao International Journal of Computer Assisted Radiology and Surgery 15, 309-320, 2020 | 26 | 2020 |
| Automatic classification of radiological report for intracranial hemorrhage K Jnawali, MR Arbabshirani, AE Ulloa, N Rao, AA Patel 2019 IEEE 13th international conference on semantic computing (ICSC), 187-190, 2019 | 18 | 2019 |
| Transfer learning for automatic cancer tissue detection using multispectral photoacoustic imaging K Jnawali, B Chinni, V Dogra, N Rao Medical imaging 2019: Computer-aided diagnosis 10950, 982-987, 2019 | 16 | 2019 |
| Deep 3D convolutional neural network for automatic cancer tissue detection using multispectral photoacoustic imaging K Jnawali, B Chinni, V Dogra, S Sinha, N Rao Medical Imaging 2019: Ultrasonic Imaging and Tomography 10955, 299-306, 2019 | 15 | 2019 |
| Medical imaging 2018: computer-aided diagnosis. vol. 10575 K Jnawali, MR Arbabshirani, N Rao, AA Patel International Society for Optics and Photonics, 105751C, 2018 | 9 | 2018 |
| Photoacoustic simulation study of chirp excitation response from different size absorbers K Jnawali, B Chinni, V Dogra, N Rao Medical Imaging 2017: Ultrasonic Imaging and Tomography 10139, 395-402, 2017 | 9 | 2017 |
| Comparative study of spectral matched filter, constrained energy minimization, and adaptive coherence estimator for subpixel target detection based on hyperspectral imaging K Jnawali, JP Kerekes, N Rao Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2018 | 5 | 2018 |
| Efficient-HDRTV: Efficient SDR to HDR Conversion for HDR TV J Kim, K Jnawali, C Liu 2023 IEEE International Conference on Image Processing (ICIP), 1065-1069, 2023 | 2 | 2023 |
| Generating images with small objects for training a pruned super-resolution network K Jnawali, TC Bau, J Kim US Patent App. 18/242,965, 2024 | | 2024 |
| Organic light emitting diode (oled) burn-in prevention based on stationary pixel and luminance reduction K Jnawali, J Kim, C Liu, SU Chang US Patent App. 18/143,266, 2023 | | 2023 |
| Efficient flicker suppression for single image super-resolution J Kim, TC Bau, HD Garud, K Jnawali US Patent App. 17/820,203, 2023 | | 2023 |
| Detecting stationary regions for organic light emitting diode (oled) television (tv) luminance reduction J Kim, K Jnawali, C Liu US Patent App. 17/818,679, 2023 | | 2023 |
| Self-emitting display (sed) burn-in prevention based on stationary luminance reduction K Jnawali, J Kim, C Liu, SU Chang US Patent App. 17/818,681, 2023 | | 2023 |
| Unsupervised learning-based scale-independent blur kernel estimation for super-resolution K Jnawali, TC Bau US Patent App. 17/813,551, 2023 | | 2023 |
| Deep learning-based automatic detection, and localization of cancer region using multispectral photoacoustic imaging K Jnawali, B Chinni, V Dogra, N Rao Medical Imaging 2022: Ultrasonic Imaging and Tomography 12038, 238-245, 2022 | | 2022 |
