Nagahara H - Search Results

1

Resolving Multi-Path Interference in Compressive Time-of-Flight Depth Imaging with a Multi-Tap Macro-Pixel Computational CMOS Image Sensor.

Horio M, Feng Y, Kokado T, Takasawa T, Yasutomi K, Kawahito S, Komuro T, Nagahara H, Kagawa K. Horio M, et al. Among authors: nagahara h. Sensors (Basel). 2022 Mar 22;22(7):2442. doi: 10.3390/s22072442. Sensors (Basel). 2022. PMID: 35408057 Free PMC article.

2

Adapting Local Features for Face Detection in Thermal Image.

Ma C, Trung NT, Uchiyama H, Nagahara H, Shimada A, Taniguchi RI. Ma C, et al. Among authors: nagahara h. Sensors (Basel). 2017 Nov 27;17(12):2741. doi: 10.3390/s17122741. Sensors (Basel). 2017. PMID: 29186923 Free PMC article.

3

The Dynamic Photometric Stereo Method Using a Multi-Tap CMOS Image Sensor.

Yoda T, Nagahara H, Taniguchi RI, Kagawa K, Yasutomi K, Kawahito S. Yoda T, et al. Among authors: nagahara h. Sensors (Basel). 2018 Mar 5;18(3):786. doi: 10.3390/s18030786. Sensors (Basel). 2018. PMID: 29510599 Free PMC article.

4

A Dual-Mode 303-Megaframes-per-Second Charge-Domain Time-Compressive Computational CMOS Image Sensor.

Kagawa K, Horio M, Pham AN, Ibrahim T, Okihara SI, Furuhashi T, Takasawa T, Yasutomi K, Kawahito S, Nagahara H. Kagawa K, et al. Among authors: nagahara h. Sensors (Basel). 2022 Mar 2;22(5):1953. doi: 10.3390/s22051953. Sensors (Basel). 2022. PMID: 35271100 Free PMC article.

5

Deep Sensing for Compressive Video Acquisition.

Yoshida M, Torii A, Okutomi M, Taniguchi RI, Nagahara H, Yagi Y. Yoshida M, et al. Among authors: nagahara h. Sensors (Basel). 2023 Aug 30;23(17):7535. doi: 10.3390/s23177535. Sensors (Basel). 2023. PMID: 37687990 Free PMC article.

6

Depth Quality Improvement with a 607 MHz Time-Compressive Computational Pseudo-dToF CMOS Image Sensor.

Pham AN, Ibrahim T, Yasutomi K, Kawahito S, Nagahara H, Kagawa K. Pham AN, et al. Among authors: nagahara h. Sensors (Basel). 2023 Nov 22;23(23):9332. doi: 10.3390/s23239332. Sensors (Basel). 2023. PMID: 38067704 Free PMC article.

7

Superresolution modeling using an omnidirectional image sensor.

Nagahara H, Yagi Y, Yachida M. Nagahara H, et al. IEEE Trans Syst Man Cybern B Cybern. 2003;33(4):607-15. doi: 10.1109/TSMCB.2003.814285. IEEE Trans Syst Man Cybern B Cybern. 2003. PMID: 18238210

8

Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory.

Wang B, Li L, Nakashima Y, Kawasaki R, Nagahara H. Wang B, et al. Among authors: nagahara h. BMC Med Inform Decis Mak. 2023 May 4;23(1):80. doi: 10.1186/s12911-023-02160-0. BMC Med Inform Decis Mak. 2023. PMID: 37143041 Free PMC article.

9

Surface Normals and Light Directions From Shading and Polarization.

Ngo TT, Nagahara H, Taniguchi RI. Ngo TT, et al. Among authors: nagahara h. IEEE Trans Pattern Anal Mach Intell. 2022 Sep;44(9):5618-5630. doi: 10.1109/TPAMI.2021.3072656. Epub 2022 Aug 4. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 33848240

10

Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist's diagnostic process of arteriolosclerosis.

Li L, Verma M, Wang B, Nakashima Y, Nagahara H, Kawasaki R. Li L, et al. Among authors: nagahara h. PLOS Digit Health. 2023 Jan 11;2(1):e0000174. doi: 10.1371/journal.pdig.0000174. eCollection 2023 Jan. PLOS Digit Health. 2023. PMID: 36812612 Free PMC article.

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