The perils of online biogeographic databases: a case study with the ‘monospecific’ genus Aegina (Cnidaria, Hydrozoa, Narcomedusae) DJ Lindsay, MM Grossmann, B Bentlage, AG Collins, R Minemizu, ... Marine Biology Research 13 (5), 494-512, 2017 | 37 | 2017 |
The gelatinous macroplankton community at the Hatoma Knoll hydrothermal vent D Lindsay, M Umetsu, M Grossmann, H Miyake, H Yamamoto Subseafloor Biosphere Linked to Hydrothermal Systems: TAIGA Concept, 639-666, 2015 | 27 | 2015 |
Pixel-level image classification for detecting beach litter using a deep learning approach M Hidaka, D Matsuoka, D Sugiyama, K Murakami, S Kako Marine Pollution Bulletin 175, 113371, 2022 | 25 | 2022 |
Optics-based surveys of large unicellular zooplankton: a case study on radiolarians and phaeodarians Y Nakamura, R Somiya, N Suzuki, M Hidaka-Umetsu, A Yamaguchi, ... Plankton and Benthos Research 12 (2), 95-103, 2017 | 16 | 2017 |
The BeachLitter dataset for image segmentation of beach litter D Sugiyama, M Hidaka, D Matsuoka, K Murakami, S Kako Data in Brief 42, 108072, 2022 | 9 | 2022 |
Comparative ROV surveys reveal jellyfish blooming in a deep-sea caldera: the first report of Earleria bruuni from the Pacific Ocean M Hidaka-Umetsu, DJ Lindsay Journal of the Marine Biological Association of the United Kingdom 98 (8 …, 2018 | 7 | 2018 |
Drones for litter monitoring on coasts and rivers: suitable flight altitude and image resolution U Andriolo, K Topouzelis, THM van Emmerik, A Papakonstantinou, ... Marine pollution bulletin 195, 115521, 2023 | 6 | 2023 |
Gelatinous zooplankton community around a hydrothermally active deep-sea caldera: results from ROV video records M Hidaka, J Nishikawa, DJ Lindsay Plankton and Benthos Research 16 (1), 40-58, 2021 | 6* | 2021 |
The uROV PICASSO, the Visual Plankton Recorder, and other attempts to image plankton D Lindsay, H Yoshida, S Ishibashi, M Umetsu, A Yamaguchi, ... 2013 IEEE International Underwater Technology Symposium (UT), 1-3, 2013 | 6 | 2013 |
Super-resolution and feature extraction for ocean bathymetric maps using sparse coding T Yutani, O Yono, T Kuwatani, D Matsuoka, J Kaneko, M Hidaka, ... Sensors 22 (9), 3198, 2022 | 5 | 2022 |
Gelatinous zooplankton MN Júnior, EG Tosetto, LC Baldoni, S Dutto, M Hidaka, DJ Lindsay, ... Marine Biology: A Functional Approach to the Oceans and their Organisms, 150, 2022 | 4 | 2022 |
Morphological and molecular analyses of Blackfordia sp.(Hydrozoa: Leptothecata) newly discovered in Vietnam A Iida, DJ Lindsay, TM Ha, M Hidaka, S Toshino, Y Kondo, S Ohtsuka, ... Plankton and Benthos Research 16 (2), 118-128, 2021 | 3 | 2021 |
深層学習による海底地形図超解像の手法比較と検証 日髙弥子, 松岡大祐, 桑谷立, 金子純二, 笠谷貴史, 木戸ゆかり, 石川洋一, ... 情報地質 32 (1), 3-13, 2021 | 2 | 2021 |
Super-resolution for Ocean Bathymetric Maps Using Deep Learning Approaches : A Comparison and Validation (in Japanese) M Hidaka, D Matsuoka, T Kuwatani, J Kaneko, T Kasaya, Y Kido, ... Mathematical Seafloor Geomorphology 32 (1), 3-13, 2021 | 2* | 2021 |
First record of the mesopelagic narcomedusan genus Solmissus ingesting a fish, with notes on morphotype diversity in S. incisa (Fewkes, 1886) M Hidaka-Umetsu, DJ Lindsay Plankton and Benthos Research 13 (2), 41-45, 2018 | 2 | 2018 |
BePLi Dataset v1: Beach Plastic Litter Dataset version 1 for instance segmentation of beach plastic litter M Hidaka, K Murakami, K Koshidawa, S Kawahara, D Sugiyama, S Kako, ... Data in Brief 48, 109176, 2023 | 1 | 2023 |
SquidJam: A Video Annotation Ecosystem M Sangekar, A Friedman, M Hidaka, T Hosono, D Lindsay 2023 IEEE Underwater Technology (UT), 1-5, 2023 | 1 | 2023 |
Gelatinous MN Júnior, EG Tosetto, LC Baldoni, S Dutto, M Hidaka, DJ Lindsay, ... Marine Biology, 150-179, 2022 | 1 | 2022 |
超高解像度映像技術の応用による複数映像データの統合・管理 梅津弥子, 山本啓之 JAMSTEC Report of Research and Development 20, 1-28, 2015 | 1 | 2015 |
Marine litter weight estimation from UAV imagery: Three potential methodologies to advance macrolitter reports U Andriolo, G Gonçalves, M Hidaka, D Gonçalves, LM Gonçalves, ... Marine Pollution Bulletin 202, 116405, 2024 | | 2024 |