Department of AI Technology Development

117  articles.  
* There may be some overlapped articles listed due to the difference of format.

  1. Parallelization of Three Dimensional Cardiac Simulation on GPU 2024.09; ( DOI )

  2. Linked color imaging with artificial intelligence improves the detection of early gastric cancer. 2024.08; 1-9. ( PubMed , DOI )

  3. Bidirectional Copy-Paste Mamba for Enhanced Semi-Supervised Segmentation of Transvaginal Uterine Ultrasound Images. 2024.07; 14 (13): ( PubMed , DOI )

  4. Yamagishi, M; Miyata, K; Kamatani, T; Kabata, H; Baba, R; Tanaka, Y; Suzuki, N; Matsusaka, M; Motomura, Y; Kiniwa, T; Koga, S; Goda, K; Ohara, O; Funatsu, T; Fukunaga, K; Moro, K; Uemura, S; Shirasaki, Y: Quantitative live-cell imaging of secretion activity reveals dynamic immune responses ISCIENCE. 2024.06; 27 (6): 109840. ( PubMed , DOI )

  5. Development of high-quality artificial intelligence for computer-aided diagnosis in determining subtypes of colorectal cancer. 2024.06; ( PubMed , DOI )

  6. Non-polypoid Colorectal Lesions Detection and False Positive Detection by Artificial Intelligence under Blue Laser Imaging and Linked Color Imaging. 2024; 8 (3): 212-220. ( PubMed , DOI )

  7. 中村啓二郎, 孫堯, 原英彦, 諸井雅男, 朱欣: 異なるベースラインインピーダンス下の低電力および長期バイポーラ高周波アブレーションの計算機シミュレーション【JST機械翻訳】||| 日本循環器学会学術集会(Web). 2024; 88th 104226. ( PubMed , DOI )

  1. Yamada Yoshiki, Kamatani Takashi, Hamada Yusuke, Kitaguchi Kazuma, Kashii Masafumi: 長期酵素補充療法中のPompe病患者における脊柱後彎に対する脊椎後方固定術 症例報告(Posterior spinal fusion for kyphoscoliosis in patients with Pompe disease under long-term enzyme replacement therapy: A case report) JOS Case Reports. 2023.12; 2 (4): 169-173.

  2. Evaluation of lesion characteristics and baseline impedance on high-power short-duration radiofrequency catheter ablation using computer simulation. 2023.12; 38 (12): 1459-1467. ( PubMed , DOI )

  3. Tanaka Y, Yamagishi M, Motomura Y, Kamatani T, Oguchi Y, Suzuki N, Kiniwa T, Kabata H, Irie M, Tsunoda T, Miya F, Goda K, Ohara O, Funatsu T, Fukunaga K, Moro K, Uemura S, Shirasaki Y: Time-dependent cell-state selection identifies transiently expressed genes regulating ILC2 activation. Communications biology. 2023.09; 6 (1): 915. ( PubMed , DOI )

  4. Kabata, H; Irie, M; Baba, R; Shirasaki, Y; Kamatani, T; Yamagishi, M; Fukunaga, K: Zinc plays an essential role in type 2 cytokine production from ILC2s in asthma EUROPEAN RESPIRATORY JOURNAL. 2023.09; 62 ( DOI )

  5. 1. Tanaka Y, Yamagishi M, Motomura Y, Kamatani T, Oguchi Y, Suzuki N, Kiniwa T, Kabata H, Tsunoda T, Miya F, Goda K, Ohara O, Funatsu T, Fukunaga K, Moro K, Uemura U and Shirasaki Y.: Time-Dependent Cell-State Selection identifies transiently expressed genes regulating ILC2 activation Communication Biology. 2023.08;

  6. Computer-Aided Diagnosis of Early-Stage Colorectal Cancer Using Non-Magnified Endoscopic White Light Images. 2023.02; ( PubMed , DOI )

  7. A training pipeline of an arrhythmia classifier for atrial fibrillation detection using Photoplethysmography signal. 2023; 14 1084837. ( PubMed , DOI )

  1. Expert-level aspiration and penetration detection during flexible endoscopic evaluation of swallowing with artificial intelligence-assisted diagnosis. 2022.12; 12 (1): 21689. ( PubMed , DOI )

  2. Sleep Staging Framework with Physiologically Harmonized Sub-Networks. 2022.11; 209 18-28. ( PubMed , DOI )

  3. がん免疫相互作用の数理シミュレーションによる微小環境の動態の解明(Unraveling dynamics of the tumor-microenvironment through mathematical simulation of cancer immune interactions) 2022.09; 81回 P-3383. ( ichushi )

  4. Estimation of Left Ventricular Ejection Fraction Using Cardiovascular Hemodynamic Parameters and Pulse Morphological Characteristics with Machine Learning Algorithms. 2022.09; 14 (19): ( PubMed , DOI )

  5. Computer-aided diagnosis of serrated colorectal lesions using non-magnified white-light endoscopic images. 2022.08; 37 (8): 1875-1884. ( PubMed , DOI )

  6. Sato Mototaka, Kashii Masafumi, Matsukawa Atsuki, Mizuno Ryoya, Akiyama Mai, Kamatani Takashi, Kamido Satoshi, Ueda Norichika, Nakayama Jiro, Tei Norihide, Yoshikawa Hideki, Miyake Osamu: 前立腺癌患者におけるCTによる腫瘍の病期分類を用いた骨の健康評価(Assessment of bone health in patients with prostate cancer using cancer staging computed tomography) Journal of Bone and Mineral Metabolism. 2022.07; 40 (4): 648-656. ( ichushi )

  7. Sato Mototaka, Kashii Masafumi, Matsukawa Atsuki, Mizuno Ryoya, Akiyama Mai, Kamatani Takashi, Kamido Satoshi, Ueda Norichika, Nakayama Jiro, Tei Norihide, Yoshikawa Hideki, Miyake Osamu: 前立腺癌患者におけるCTによる腫瘍の病期分類を用いた骨の健康評価(Assessment of bone health in patients with prostate cancer using cancer staging computed tomography) Journal of Bone and Mineral Metabolism. 2022.07; 40 (4): 648-656.

  8. Spectral interference contrast based non-contact photoacoustic microscopy realized by SDOCT. 2022.06; 47 (11): 2895-2898. ( PubMed , DOI )

  9. Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine Learning 2022.05; 12 (6): 776. ( PubMed , DOI )

  10. Automated retinal boundary segmentation of optical coherence tomography images using an improved Canny operator. 2022.01; 12 (1): 1412. ( PubMed , DOI )

  11. Toshitaka Sugawara, Fuyuki Miya, Toshiaki Ishikawa, Artem Lysenko, Jo Nishino, Takashi Kamatani, Akira Takemoto, Keith A Boroevich, Kazuhiro Kakimi, Yusuke Kinugasa, Minoru Tanabe, Tatsuhiko Tsunoda: Immune subtypes and neoantigen-related immune evasion in advanced colorectal cancer iScience. 2022.01; 25 (2): 103-740. ( DOI )

  12. 2. Baba R, Kabata H, Shirasaki Y, Kamatani T, Yamagishi M, Irie M, Watanabe R, Matsusaka M, Masaki K, Miyata J, Moro K, Uemura S, Fukunaga K: Upregulation of IL-4 receptor signaling pathway in circulating ILC2s from asthma patients The Journal of Allergy and Clinical Immunology: Global . 2022;

  13. 1. Kameyama N, Sato T, Arai D, Fujisawa D, Takeuchi M, Nakachi I, Kawada I, Yasuda H, Ikemura S, Terai H, Nukaga S, Nakano Y, Hirano T, Minematsu N, Asakura T, Kamatani T, Tanaka K, Suzuki S, Miyawaki M, Naoki K, Fukunaga K, Soejima K: Most important things and associated factors with prioritizing ‘daily life’ in patients with advanced lung cancer JCO Oncology Practice. 2022;

  14. Automatic Measurement of Endometrial Thickness From Transvaginal Ultrasound Images. 2022; 10 853845. ( PubMed , DOI )

  15. Prediction of Endometrial Carcinoma Using the Combination of Electronic Health Records and an Ensemble Machine Learning Method. 2022; 9 851890. ( PubMed , DOI )

  1. Ran Du, Shiqi Xie, Yuxin Fang, Tae Igarashi-Yokoi, Muka Moriyama, Satoko Ogata, Tatsuhiko Tsunoda, Takashi Kamatani, Shinji Yamamoto, Ching-Yu Cheng, Seang-Mei Saw, Daniel Ting, Tien Y Wong, Ohno-Matsui K: Deep Learning Approach for Automated Detection of Myopic Maculopathy and Pathologic Myopia in Fundus Images. Ophthalmol Retina. 2021.12; ( PubMed , DOI )

  2. Deep Learning-Based Recurrence Prediction of Atrial Fibrillation After Catheter Ablation. 2021.10; 86 (2): 299-308. ( PubMed , DOI )

  3. An analysis about the function of a new artificial intelligence, CAD EYE with the lesion recognition and diagnosis for colorectal polyps in clinical practice. 2021.10; 36 (10): 2237-2245. ( PubMed , DOI )

  4. Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional Generative Adversarial Networks 2021.09; 11 (10): ( PubMed , DOI )

  5. Theoretical Investigation of the Mechanism by which A Gain-of-Function Mutation of the TRPM4 Channel Causes Conduction Block 2021.08; 22 (16): 8513. ( PubMed , DOI )

  6. Zhao Peipei, Yang Meng, Zhu Guoliang, Zhao Bo, Wang Hong, Liu Hairong, Wang Xinzhu, Qi Jun, Yin Xin, Yu Lumin, Meng Yiwei, Li Zhipu, Zhang Lixin, Xia Xuekui: モリセリンS～U　Chaetomium brasiliense SD-596から単離した抗MRSA活性を持つ3種類の新規デプシドン類(Mollicellins S-U, three new depsidones from Chaetomium brasiliense SD-596 with anti-MRSA activities) The Journal of Antibiotics. 2021.05; 74 (5): 317-323. ( ichushi )

  7. Femoral marrow MRI is a non-invasive, non-irradiated and useful tool for detecting bone marrow involvement in non-Hodgkin lymphoma. 2021.02; ( PubMed , DOI )

  1. Diagnostic performance of artificial intelligence to identify deeply invasive colorectal cancer on non-magnified plain endoscopic images 2020.10; 08 (10): E1341-E1348. ( PubMed , DOI )

  2. Suetomi Risa, Ohta Yasuharu, Akiyama Masaru, Matsumura Takuro, Taguchi Akihiko, Yamamoto Kaoru, Kamatani Takashi, Tanizawa Yukio: アドレノメデュリンはオートクリンおよびパラクリン的に作用して小胞体ストレスから膵β細胞を保護する役割を果たす(Adrenomedullin has a cytoprotective role against endoplasmic reticulum stress for pancreatic β-cells in autocrine and paracrine manners) Journal of Diabetes Investigation. 2020.07; 11 (4): 823-833. ( ichushi )

  3. Suetomi Risa, Ohta Yasuharu, Akiyama Masaru, Matsumura Takuro, Taguchi Akihiko, Yamamoto Kaoru, Kamatani Takashi, Tanizawa Yukio: アドレノメデュリンはオートクリンおよびパラクリン的に作用して小胞体ストレスから膵β細胞を保護する役割を果たす(Adrenomedullin has a cytoprotective role against endoplasmic reticulum stress for pancreatic β-cells in autocrine and paracrine manners) Journal of Diabetes Investigation. 2020.07; 11 (4): 823-833.

  4. Masaki K, Miyata J, Kamatani T, Tanosaki T, Mochimaru T, Kabata H, Suzuki Y, Asano K, Betsuyaku T, Fukunaga K: Risk factors for poor adherence to inhaled corticosteroid therapy in patients with moderate to severe asthma. Asian Pacific journal of allergy and immunology. 2020.06; 41 (2): 113-120. ( PubMed , DOI )

  5. Nishino Jo, Watanabe Shuichi, Miya Fuyuki, Kamatani Takashi, Sugawara Toshitaka, Boroevich Keith A., Tsunoda Tatsuhiko: Quantification of multicellular colonization in tumor metastasis using exome-sequencing data INTERNATIONAL JOURNAL OF CANCER. 2020.05; 146 (9): 2488-2497. ( PubMed , DOI )

  6. GENOMIC LANDSCAPE AND MOLECULAR CHARACTERIZATION OF RENAL CELL CARCINOMA IN DIALYSIS PATIENTS 2020.04; 203 E108-E109.

  7. Polyp detection algorithm can detect small polyps: Ex vivo reading test compared with endoscopists. 2020.03; 33 (1): 162-169. ( PubMed , DOI )

  8. 非侵襲検査と基礎医学・工学との融合 敵対的生成ネットワークによる心電図雑音評価効果の改善 2020.02; 40 (Suppl.2): S-30. ( ichushi )

  9. 自動体外式除細動器による除細動についてのコンピュータシミュレーションを用いた研究(Study on defibrillation of automatic external defibrillator using computer simulation) 2020.02; 40 (Suppl.2): S-54. ( ichushi )

  10. 過剰なTRPM4チャネルの活性が伝導速度とAP形状に変化を及ぼす可能性の検討 コンピュータシミュレーション研究(Excessive TRPM4 channel activity may change conduction velocities and AP shapes: a computer simulation study) 2020.02; 40 (Suppl.2): S-52. ( ichushi )

  11. Sato Yasuyoshi, Wada Ikuo, Odaira Kosuke, Hosoi Akihiro, Kobayashi Yukari, Nagaoka Koji, Karasaki Takahiro, Matsushita Hirokazu, Yagi Koichi, Yamashita Hiroharu, Fujita Masashi, Watanabe Shuichi, Kamatani Takashi, Miya Fuyuki, Mineno Junichi, Nakagawa Hidewaki, Tsunoda Tatsuhiko, Takahashi Shunji, Seto Yasuyuki, Kakimi Kazuhiro: Integrative immunogenomic analysis of gastric cancer dictates novel immunological classification and the functional status of tumor-infiltrating cells CLINICAL & TRANSLATIONAL IMMUNOLOGY. 2020; 9 (10): e1194. ( PubMed , DOI )

  1. Single-channel ECG suitable for ECG-derived respiration 2019.08; 5 (5): 055002. ( DOI )

  2. 深層学習による心房細動の検出(Detect Atrial Fibrillation Using Deep Learning) 2019.03; 39 (Suppl.1): S-14. ( ichushi )

  3. Goto Shinichi, Kimura Mai, Katsumata Yoshinori, Goto Shinya, Kamatani Takashi, Ichihara Genki, Ko Seien, Sasaki Junichi, Fukuda Keiichi, Sano Motoaki: Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients PLOS ONE. 2019.01; 14 (1): e0210103. ( PubMed , DOI )

  1. Premature Ventricular Contraction Detection from Ambulatory ECG Using Recurrent Neural Networks. 2018.07; 2018 2551-2554. ( PubMed , DOI )

  2. Sakurai Kaori, Chubachi Shotaro, Irie Hidehiro, Tsutsumi Akihiro, Kameyama Naofumi, Kamatani Takashi, Koh Hidefumi, Terashima Takeshi, Nakamura Hidetoshi, Asano Koichiro, Betsuyaku Tomoko: Clinical utility of blood neutrophil-lymphocyte ratio in Japanese COPD patients BMC PULMONARY MEDICINE. 2018.05; 18 (1): 65. ( PubMed , DOI )

  3. Kuwae, M; Fukunaga, K; Kamatani, T; Watanabe, R; Okuzumi, S; Baba, R; Tanosaki, T; Matsuzaka, M; Mochimaru, T; Ueda, S; Suzuki, Y; Asano, K; Betsuyaku, T: Phenotype Classification Based on Risk Factors for Asthma Exacerbation Factors in Japanese Patients with Severe Asthma AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2018; 197

  4. ECG Quality Assessment Using 1D-Convolutional Neural Network 2018; 2018-August 780-784. ( DOI )

  5. Mochimaru T, Fukunaga K, Kuwae M, Watanabe R, Okuzumi S, Baba R, Kamatani T, Tanosaki T, Matsusaka M, Ueda S, Betsuyaku T: Neutrophil to Lymphocyte Ratio Is a Novel Predictor of Severe Exacerbation in Asthma Patients AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2018; 197

  6. Kuwae, M, Fukunaga, K, Kamatani, T, Watanabe, R, Okuzumi, S, Baba, R, Tanosaki, T, Matsuzaka, M, Mochimaru, T, Ueda, S, Suzuki, Y, Asano, K, Betsuyaku, T: Phenotype Classification Based on Risk Factors for Asthma Exacerbation Factors in Japanese Patients with Severe Asthma AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2018; 197

  7. Mochimaru T., Fukunaga K., Kuwae M., Watanabe R., Okuzumi S., Baba R., Kamatani T., Tanosaki T., Matsusaka M., Ueda S., Betsuyaku T.: Neutrophil to Lymphocyte Ratio Is a Novel Predictor of Severe Exacerbation in Asthma Patients AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2018; 197

  8. Atrial Fibrillation Detection Using Convolutional Neural Networks 2018; 84-89. ( DOI )

  1. Kamatani Takashi, Fukunaga Koichi, Miyata Kaede, Shirasaki Yoshitaka, Tanaka Junji, Baba Rie, Matsusaka Masako, Kamatani Naoyuki, Moro Kazuyo, Betsuyaku Tomoko, Uemura Sotaro: Construction of a system using a deep learning algorithm to count cell numbers in nanoliter wells for viable single-cell experiments SCIENTIFIC REPORTS. 2017.12; 7 (1): 16831. ( PubMed , DOI )

  2. Katsunori Masaki, Koichi Fukunaga, Masako Matsusaka, Hiroki Kabata, Takae Tanosaki, Takao Mochimaru, Takashi Kamatani, Kengo Ohtsuka, Rie Baba, Soichiro Ueda, Yusuke Suzuki, Fumio Sakamaki, Yoshitaka Oyamada, Takashi Inoue, Tsuyoshi Oguma, Koichi Sayama, Hidefumi Koh, Morio Nakamura, Akira Umeda, Katsuhiko Kamei, Kenji Izuhara, Koichiro Asano, Tomoko Betsuyaku: Characteristics of severe asthma with fungal sensitization. Ann Allergy Asthma Immunol. 2017.09; 119 (3): 253-257. ( PubMed , DOI )

  3. Masaki, K; Fukunaga, K; Matsusaka, M; Kabata, H; Tanosaki, T; Mochimaru, T; Kamatani, T; Ohtsuka, K; Baba, R; Ueda, S; Suzuki, Y; Sakamaki, F; Oyamada, Y; Inoue, T; Oguma, T; Sayama, K; Koh, H; Nakamura, M; Umeda, A; Kamei, K; Asano, K; Betsuyaku, T: Characteristics Of Moderate To Severe Asthma With Fungal Sensitization AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2017; 195

  4. Mochimaru, T; Fukunaga, K; Masaki, K; Matsusaka, M; Okuzumi, S; Baba, R; Tanosaki, T; Suzuki, Y; Kamatani, T; Betsuyaku, T: The Relationship Between Anxiety And Serum Inflammatory Cytokines In Patients With Asthma AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2017; 195

  5. Baba, R; Fukunaga, K; Tanosaki, T; Chubachi, S; Kamatani, T; Otsuka, K; Matsusaka, M; Mochimaru, T; Ueda, S; Suzuki, Y; Betsuyaku, T: Effect Of Aspergillus Sensitization On Patients With Chronic Obstructive Pulmonary Disease (COPD) Without Asthma AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2017; 195

  6. Masaki, K, Fukunaga, K, Matsusaka, M, Kabata, H, Tanosaki, T, Mochimaru, T, Kamatani, T, Ohtsuka, K, Baba, R, Ueda, S, Suzuki, Y, Sakamaki, F, Oyamada, Y, Inoue, T, Oguma, T, Sayama, K, Koh, H, Nakamura, M, Umeda, A, Kamei, K, Asano, K, Betsuyaku, T: Characteristics Of Moderate To Severe Asthma With Fungal Sensitization AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2017; 195

  7. Baba, R, Fukunaga, K, Tanosaki, T, Chubachi, S, Kamatani, T, Otsuka, K, Matsusaka, M, Mochimaru, T, Ueda, S, Suzuki, Y, Betsuyaku, T: Effect Of Aspergillus Sensitization On Patients With Chronic Obstructive Pulmonary Disease (COPD) Without Asthma AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2017; 195

  8. Mochimaru, T, Fukunaga, K, Masaki, K, Matsusaka, M, Okuzumi, S, Baba, R, Tanosaki, T, Suzuki, Y, Kamatani, T, Betsuyaku, T: The Relationship Between Anxiety And Serum Inflammatory Cytokines In Patients With Asthma AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2017; 195

  9. 鎌谷高志, 福永興壱: 重症喘息の診断基準と病型分類 最新医学. 2017; 72 (7):

  1. Takashi Kamatani, Takemichi Okada, Hiroyoshi Iguchi, Yoshihito Takahashi, Hiroaki Yokomori: Liver abscess caused by Salmonella choleraesuis. Int J Gen Med. 2015; 8 155-161. ( PubMed , DOI )

  1. Takashi Kamatani, Hiroyoshi Iguchi, Takemichi Okada, Hitoshi Yamazaki, Hidekazu Tsunoda, Masaaki Watanabe, Masaya Oda, Makoto Ohbu, Hiroaki Yokomori: Co-registered positron emission tomography/computed tomography and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid magnetic resonance imaging features of multiple angiosarcoma of the liver. Hepatol Res. 2014.10; 44 (10): E297-E303. ( PubMed , DOI )

  1. Misato Irie, Hiroki Kabata, Kotaro Sasahara, Momoko Kurihara, Yoshitaka Shirasaki, Takashi Kamatani, Rie Baba, Masako Matsusaka, Satoshi Koga, Katsunori Masaki, Jun Miyata, Yasutomo Araki, Toru Kikawada, Yasuaki Kabe, Makoto Suematsu, Mai Yamagishi, Sotaro Uemura, Kazuyo Moro, Koichi Fukunaga: Annexin A1 is a cell-intrinsic metalloregulator of zinc in human ILC2s. Cell reports. 2023.06; 42 (6): 112610. ( PubMed , DOI )

  2. Yu Hamba, Takashi Kamatani, Fuyuki Miya, Keith A Boroevich, Tatsuhiko Tsunoda: Topologically associating domain underlies tissue specific expression of long intergenic non-coding RNAs. iScience. 2023.05; 26 (5): 106640. ( PubMed , DOI )

  3. Naoki Ikeda, Hiroaki Kubota, Risa Suzuki, Mitsuki Morita, Ayana Yoshimura, Yuya Osada, Keigo Kishida, Daiki Kitamura, Ayaka Iwata, Satoshi Yotsumoto, Daisuke Kurotaki, Koutarou Nishimura, Akira Nishiyama, Tomohiko Tamura, Takashi Kamatani, Tatsuhiko Tsunoda, Miyako Murakawa, Yasuhiro Asahina, Yoshihiro Hayashi, Hironori Harada, Yuka Harada, Asumi Yokota, Hideyo Hirai, Takao Seki, Makoto Kuwahara, Masakatsu Yamashita, Shigeyuki Shichino, Masato Tanaka, Kenichi Asano: The early neutrophil-committed progenitors aberrantly differentiate into immunoregulatory monocytes during emergency myelopoiesis. Cell reports. 2023.03; 42 (3): 112165. ( PubMed , DOI )

  1. Naofumi Kameyama, Takashi Sato, Daisuke Arai, Daisuke Fujisawa, Mari Takeuchi, Ichiro Nakachi, Ichiro Kawada, Hiroyuki Yasuda, Shinnosuke Ikemura, Hideki Terai, Shigenari Nukaga, Yasushi Nakano, Toshiyuki Hirano, Naoto Minematsu, Takanori Asakura, Takashi Kamatani, Kyuto Tanaka, Shoji Suzuki, Masayoshi Miyawaki, Katsuhiko Naoki, Koichi Fukunaga, Kenzo Soejima: Most Important Things and Associated Factors With Prioritizing Daily Life in Patients With Advanced Lung Cancer. JCO oncology practice. 2022.12; 18 (12): 851-+. ( PubMed , DOI )

  2. Hitoshi Matsuo, Takashi Kamatani, Yu Hamba, Keith A Boroevich, Tatsuhiko Tsunoda: Association between high immune activity and worse prognosis in uveal melanoma and low-grade glioma in TCGA transcriptomic data. BMC genomics. 2022.05; 23 (1): 351. ( PubMed , DOI )

  1. Kyohei Hakozaki, Nobuyuki Tanaka, Kimiharu Takamatsu, Ryohei Takahashi, Yota Yasumizu, Shuji Mikami, Toshiaki Shinojima, Kazuhiro Kakimi, Takashi Kamatani, Fuyuki Miya, Tatsuhiko Tsunoda, Eriko Aimono, Hiroshi Nishihara, Ryuichi Mizuno, Mototsugu Oya: Landscape of prognostic signatures and immunogenomics of the AXL/GAS6 axis in renal cell carcinoma. British journal of cancer. 2021.11; 125 (11): 1533-1543. ( PubMed , DOI )

  2. Kimiharu Takamatsu, Nobuyuki Tanaka, Kyohei Hakozaki, Ryohei Takahashi, Yu Teranishi, Tetsushi Murakami, Ryohei Kufukihara, Naoya Niwa, Shuji Mikami, Toshiaki Shinojima, Takashi Sasaki, Yusuke Sato, Haruki Kume, Seishi Ogawa, Kazuhiro Kakimi, Takashi Kamatani, Fuyuki Miya, Tatsuhiko Tsunoda, Eriko Aimono, Hiroshi Nishihara, Kazuaki Sawada, Takeshi Imamura, Ryuichi Mizuno, Mototsugu Oya: Profiling the inhibitory receptors LAG-3, TIM-3, and TIGIT in renal cell carcinoma reveals malignancy. Nature communications. 2021.09; 12 (1): 5547. ( PubMed , DOI )

  3. Kota Ishioka, Hiroyuki Yasuda, Junko Hamamoto, Hideki Terai, Katsura Emoto, Tae-Jung Kim, Shigemichi Hirose, Takashi Kamatani, Sachiyo Mimaki, Daisuke Arai, Keiko Ohgino, Tetsuo Tani, Keita Masuzawa, Tadashi Manabe, Taro Shinozaki, Akifumi Mitsuishi, Toshiki Ebisudani, Takahiro Fukushima, Mari Ozaki, Shinnosuke Ikemura, Ichiro Kawada, Katsuhiko Naoki, Morio Nakamura, Takashi Ohtsuka, Hisao Asamura, Katsuya Tsuchihara, Yuichiro Hayashi, Ahmed E Hegab, Susumu S Kobayashi, Takashi Kohno, Hideo Watanabe, David M Ornitz, Tomoko Betsuyaku, Kenzo Soejima, Koichi Fukunaga: Upregulation of FGF9 in Lung Adenocarcinoma Transdifferentiation to Small Cell Lung Cancer. Cancer research. 2021.07; 81 (14): 3916-3929. ( PubMed , DOI )

  4. Koji M Nishiguchi, Fuyuki Miya, Yuka Mori, Kosuke Fujita, Masato Akiyama, Takashi Kamatani, Yoshito Koyanagi, Kota Sato, Toru Takigawa, Shinji Ueno, Misato Tsugita, Hiroshi Kunikata, Katarina Cisarova, Jo Nishino, Akira Murakami, Toshiaki Abe, Yukihide Momozawa, Hiroko Terasaki, Yuko Wada, Koh-Hei Sonoda, Carlo Rivolta, Tatsuhiko Tsunoda, Motokazu Tsujikawa, Yasuhiro Ikeda, Toru Nakazawa: A hypomorphic variant in EYS detected by genome-wide association study contributes toward retinitis pigmentosa. Communications biology. 2021.01; 4 (1): 140. ( PubMed , DOI )

  1. Improvements of Computer-aided Diagnosis for Colonoscopic Clinical Practice 2019.06; 128 (6): 421-429. ( ichushi )

  2. ZHU Xin, YAGI Tohru, KATAYAMA Norihiro, SHIOZAWA Naruhiro, UCHIYAMA Takanori: Preface to Special Issue on LE2018 Symposium Transactions of the Society of Instrument and Control Engineers. 2019; 55 (9): 519. ( DOI )

  1. Mitsuyoshi Imaizumi, Weihao Weng, Xin Zhu, Shigeyuki Murono: Effectiveness of FEES with artificial intelligence-assisted computer-aided diagnosis Auris Nasus Larynx. 2023.11; ( DOI )

  2. Xue Zhou, Xin Zhu, Tianhui Li, Keijiro Nakamura, Ming Huang: Sex Difference in Atrial Fibrillation Recurrence After Catheter Ablation 2023 12th International Conference on Awareness Science and Technology (iCAST). 2023.11; ( DOI )

  3. Zunyi Tang, Linlin Jiang, Xin Zhu, Ming Huang: An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study Electronics. 2023.08; 12 (17): 3652. ( DOI )

  4. Chiun-Li Chin, Chia-Chun Lin, Jing-Wen Wang, Wei-Cheng Chin, Yu-Hsiang Chen, Sheng-Wen Chang, Pei-Chen Huang, xin zhu, Yu-Lun Hsu, Shing-Hong Liu: A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing Sensors. 2023.08; ( DOI )

  5. Jia-Jung Wang, Shing-Hong Liu, Cheng-Hsien Tsai, Ioannis Manousakas, xin zhu, Thung-Lip Lee: Signal Quality Analysis of Single-Arm Electrocardiography Sensors. 2023.06; ( DOI )

  6. Aihua Zhao, Xin Du, Suzhen Yuan, Wenfeng Shen, Xin Zhu, Wenwen Wang: Automated Detection of Endometrial Polyps from Hysteroscopic Videos Using Deep Learning Diagnostics. 2023.04; ( DOI )

  7. Weihao Weng, Xin Zhu, Lei Jing, Mianxiong Dong: Attention Mechanism Trained with Small Datasets for Biomedical Image Segmentation Electronics. 2023.01; ( DOI )

  8. 中村啓二郎, 朱欣, 榎本善成, 原英彦, 諸井雅男, 杉薫, 中村正人: Is Artificial Intelligence Completely One-size-fits-all Approach for Analyzing Real World Data 日本循環器学会学術集会(Web). 2023; 87th

  9. Yiyang Liu, Boyuan Peng, Ziwei Liang, Xin Zhu 0001, Hiromasa Hayama, Keijiro Nakamura: Automatic Edge Detection in Echocardiographic Doppler Images Using an Improved Canny Algorithm. iCAST. 2023; 210-215. ( DOI )

  1. Keijiro Nakamura, Xue Zhou, Naohiko Sahara, Yasutake Toyoda, Yoshinari Enomoto, Hidehiko Hara, Mahito Noro, Kaoru Sugi, Ming Huang, Masao Moroi, Masato Nakamura, Xin Zhu: Risk of Mortality Prediction Involving Time-Varying Covariates for Patients with Heart Failure Using Deep Learning Diagnostics. 2022.11; 12 (12): 2947. ( DOI )

  2. Rie Baba, Hiroki Kabata, Yoshitaka Shirasaki, Takashi Kamatani, Mai Yamagishi, Misato Irie, Risa Watanabe, Masako Matsusaka, Katsunori Masaki, Jun Miyata, Kazuyo Moro, Sotaro Uemura, Koichi Fukunaga: Upregulation of IL-4 receptor signaling pathway in circulating ILC2s from asthma patients Journal of Allergy and Clinical Immunology: Global. 2022.11; 1 (4): 299-304. ( PubMed , DOI )

  3. Yang Lin, Menghan Yu, Yi Wang, Ziyue Meng, Ang Li, Zhonghai He, Qiaoyun Wang, Jian Liu, Yao Yu, Yuqian Zhao, Xin Zhu, Zhenhe Ma: High-speed all-optic optical coherence tomography and photoacoustic microscopy dual-modal system for microcirculation evaluation Journal of Innovative Optical Health Sciences. 2022.07; 15 (4): ( DOI )

  4. Jian Liu, Shixin Yan, Nan Lu, Dongni Yang, Chunhui Fan, Hongyu Lv, Shuanglian Wang, Xin Zhu, Yuqian Zhao, Yi Wang, Zhenhe Ma, Yao Yu: Automatic segmentation of foveal avascular zone based on adaptive watershed algorithm in retinal optical coherence tomography angiography images Journal of Innovative Optical Health Sciences. 2022.01; 15 (1): ( DOI )

  5. Xue Zhou, Xin Zhu, Keijiro Nakamura: Prediction of Hospitalization Cost and Length of Stay for Patients with Heart Failure Using Deep Learning LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies. 2022; 158-161. ( DOI )

  6. Xue Zhou, Xin Zhu, Keijiro Nakamura, Ming Huang: Gender Difference in Prognosis of Patients with Heart Failure: A Propensity Score Matching Analysis BHI-BSN 2022 - IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, Symposium Proceedings. 2022; ( DOI )

  7. Boyuan Peng, Yiyang Liu, Xin Zhu, Shouhei Ikeda, Saburo Tsunoda: Femoral segmentation of MRI images using PP-LiteSeg BHI-BSN 2022 - IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, Symposium Proceedings. 2022; ( DOI )

  1. S. M. Isuru Niroshana, Khanh N.Q. Le, Xin Zhu, Keijiro Nakamura, Wenxi Chen: A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network PLOS ONE. 2021.04; 16 (4 April): ( PubMed , DOI )

  2. Aihua Zhao, Jian Zhang, Shixuan Wang, Yan Wang, Xin Zhu, Wenfeng Shen, Wenwen Wang: Detection of Hysteroscopic Hysteromyoma in Real-Time Based on Deep Learning Journal of Physics: Conference Series. 2021.04; 1861 (1): ( DOI )

  3. Yaopeng Hu, Qin Li, Lin-Hai Kurahara, Narumi Shioi, Keizo Hiraishi, Takayuki Fujita, Xin Zhu, Ryuji Inoue: An Arrhythmic Mutation E7K Facilitates TRPM4 Channel Activation via Enhanced PIP2 Interaction Cells. 2021.04; 10 (5): ( PubMed , DOI )

  4. Xingyu Wangchen, Wenfeng Shen, Hideaki Takasumi, Shinya Seino, Xin Zhu: Automatic combination strategy search in segmentation of Cardiac T1 mapping image Proceedings - 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021. 2021.03; 811-816. ( DOI )

  5. Yuki NAKAJIMA, Daiki NEMOTO, Shinichi KATSUKI, Yoshikazu HAYASHI, Masato AIZAWA, Kenichi UTANO, Takahito TAKEZAWA, Yuichi SAGARA, Xin ZHU, Goro SHIBUKAWA, Hironori YAMAMOTO, Kazutomo TOGASHI: Which region does artificial intelligence look at to predict t1b colorectal cancer? analysis based on class activation mapping Gastroenterological Endoscopy. 2021; 63 (6): 1232-1240. ( DOI )

  6. Weihao Weng, Xin Zhu: INet: Convolutional Networks for Biomedical Image Segmentation IEEE Access. 2021; 9 16591-16603. ( DOI )

  1. Boyuan Peng, Zhe Guo, Xin Zhu, Shouhei Ikeda, Saburo Tsunoda: Semantic segmentation of femur bone from MRI images of patients with hematologic malignancies IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2020.11; 2020-November 1090-1094. ( DOI )

  2. Yao Sun, Xin Zhu, Keijiro Nakamura: Effects of myocardial fat's thickness and myocardial impedance on bipolar radiofrequency cathode ablation IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2020.11; 2020-November 47-51. ( DOI )

  3. Xue Zhou, Xin Zhu, Keijiro Nakamura, Mahito Noro: Determination of T Wave End by Multi-input Deep Learning Model 2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020. 2020.10; 898-902. ( DOI )

  4. Lingfeng Liu, Xin Zhu, Qin Xia: An Integrated Design of Multi-Channel ECG Sensor on Smart Garment ACM International Conference Proceeding Series. 2020.09; 316-320. ( DOI )

  5. Yuki Nakajima, Daiki Nemoto, Xin Zhu, Zhe Guo, Qin Li, Masato Aizawa, Kenichi Utano, Noriyuki Isohata, Shungo Endo, Goro Shibukawa, Shinichi Katsuki, Yuichi Sagara, Takahito Takezawa, Yoshikazu Hayashi, Hironori Yamamoto, David G. Hewett, Kazutomo Togashi: Sa2046 WHICH REGION DOES ARTIFICIAL INTELLIGENCE LOOK AT TO PREDICT T1B COLORECTAL CANCER?: ANALYSIS BASED ON CLASS ACTIVATION MAPPING. Gastrointestinal Endoscopy. 2020.06; 91 (6): AB257-AB258. ( DOI )

  6. Zhe Guo, Ruiyao Zhang, Qin Li, Xinkai Liu, Daiki Nemoto, Kazutomo Togashi, S.M. Isuru Niroshana, Yuchen Shi, Xin Zhu: Reduce False-Positive Rate by Active Learning for Automatic Polyp Detection in Colonoscopy Videos 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). 2020.04; 2020-April 1655-1658. ( DOI )

  1. S. M.Isuru Niroshana, Xin Zhu, Ying Chen, Wenxi Chen: Sleep Stage Classification Based on EEG, EOG, and CNN-GRU Deep Learning Model 2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings. 2019.10; ( DOI )

  2. Baohua Liu, Wenfeng Shen, Xin Zhu, Xingyu Wangchen: Integrating intra-And intercellular simulation of a 2d hl-1 cardiac model based on embedded gpus Proceedings - 2019 IEEE 13th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2019. 2019.10; 236-240. ( DOI )

  3. Baohua Liu, Wenfeng Shen, Peng Li, Xin Zhu: Accelerate Mini-batch Machine Learning Training With Dynamic Batch Size Fitting 2019 International Joint Conference on Neural Networks (IJCNN). 2019.07; 2019-July ( DOI )

  4. S.M. Isuru Niroshana, Xin Zhu, Yin Chen, Wenxi Chen: Automatic Sleep Stage Classification Based on Convolutional Neural Networks 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech). 2019.03; 275-276. ( DOI )

  5. Xue Zhou, Xin Zhu, Keijiro Nakamura, Mahito Noro: Detect the Premature Ventricular Contraction Using Recurrent Neural Networks Journal of Electrocardiology. 2019.03; 53 e4-e5. ( DOI )

  6. Zhe Guo, Xin Zhu, Qin Li, Daiki Nemoto, Daisuke Takayanagi, Masato Aizawa, Noriyuki Isohata, Kenichi Utano, Kensuke Kumamoto, Shungo Endo, Kazutomo Togashi: Automatic polyp recognition from Colonoscopy images based on bag of visual words International Journal of Applied Science and Engineering. 2019; 16 (1): 69-81. ( DOI )

  1. Feng Qiu, Baohua Liu, Wenfeng Shen, Yanghua Shen, Yaopeng Hu, Xin Zhu: Parallel acceleration on simulation of a 2D Takeuchi electrophysiology cardiac model using GPUs 2017 3rd IEEE International Conference on Computer and Communications, ICCC 2017. 2018.03; 2018-January 2665-2668. ( DOI )

  2. Feng Qiu, Baohua Liu, Wenfeng Shen, Yanghua Shen, Yaopeng Hu, Xin Zhu: A study on the simulation of HL-1 unicellular model based on numerical methods Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. 2018.02; 2018-January 1-5. ( DOI )

  3. Wenfeng Shen, Feng Qiu, Yaopeng Hu, Yanghua Shen, Xin Zhu: Energy efficient simulation computing of electrocardiogram with TK1 Board IAENG International Journal of Computer Science. 2018.02; 45 (1): 177-187.

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