研究業績

学術論文誌：

  1. Hinako Mitsuoka, K.Hotta.”Human Brain-Inspired Network Using Transformer and Feedback Processing for Cell Image Segmentation“, IEEE Access, Vol.13, pp.50918-50930, 2025. (impact factor=3.4) PDF
  2. Taiji Kurami, Takuya Ishikawa, K.Hotta.”DeformableFormer for Classification of the Presence or Absence of Pancreatic Tissue Fragments in Pancreatic Disease”, IEEE Access, Vol.12, pp.122503-122512, 2024.PDF
  3. Sota Kato, K.Hotta. “Automatic enhancement preprocessing for segmentation of low quality cell images”, Scientific Reports, 14.1, 3619, 2024. (impact factor=4.997) PDF
  4. Sota Kato, K.Hotta. “Adaptive t-vMF Dice Loss: An Effective Expansion of Dice Loss for Medical Image Segmentation”, Computers in Biology and Medicine, 168: 107695, 2024. (impact factor=7.7) PDF
  5. Sota Kato, K.Hotta. “Expanded Tube Attention for Tubular Structure Segmentation”, International Journal of Computer Assisted Radiology and Surgery, pp.1-7, 2023. (impact factor=3.0) PDF
  6. Naoki Minamino, Haruki Fujii, Haruhiko Murata, Sho Hachinoda, Yohei Kondo, K.Hotta, Takashi Ueda,” Analysis of plant-specific ANTH domain-containing protein in Marchantia polymorpha, Plant and Cell Physiology”, 2023;, pcad118,(impact factor=4.937) PDF
  7. Y.Uemura, S.Kimura, T.Ohta, T.Suzuki, K.Mase, H.Kato, S.Sakaoka, M.Uefune, Y.Komine, K.Hotta, M.Shimizu, A.Morikami, H.Tsukagoshi, “A very long chain fatty acid responsive transcription factor, MYB93, regulates lateral root development in Arabidopsis,” The Plant Journal, Vol.115, Issue 5, Wiley, pp.1408-1427, 2023.
  8. N.Sassa, Y.Kameya, T.Takahashi, Y.Matsukawa, T.Majima, K.Tsuruta, I.Kobayashi, K. Kajikawa, H.Kawanishi, H.Kurosu, S.Yamagiwa, M.Takahashi, K.Hotta, K.Yamada, T. Yamamoto, , “Creation of synthetic contrast-enhanced computed tomography images using deep neural networks to screen for renal cell carcinoma,” Nagoya Journal of Medical Science, Vol. 85, No. 4, 2023.
  9. Sota Kato, Masahiro Oda, Kensaku Mori, Akinobu Shimizu, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi & K.Hotta, “Classification and visual explanation for COVID-19 pneumonia from CT images using triple learning,” Scientific Reports,  Volume 12, Article number: 20840, Nature Research, 2022. (impact factor=4.996) PDF
  10. T.Ishikawa, M.Hayakawa, H.Suzuki, E.Ohno, Y.Mizutani, T.Iida, M.Fujishiro, H.Kawashima, and K.Hotta, “Development of a Novel Evaluation Method for Endoscopic Ultrasound-Guided Fine-Needle Biopsy in Pancreatic Diseases Using Artificial Intelligence,” Diagnostics, Vol.12 No.2, MDPI, 2022. (impact factor=3.24) PDF
  11. M.Ikeuchi, A.Iwase, T.Ito, H.Tanaka, D.S.Favero, A.Kawamura, S.Sakamoto, M.Wakazaki, T. Tameshige, H.Fujii, T.Suzuki, K.Hotta, K.Toyooka, N.Mitsuda, and K.Sugimoto, “Wound-inducible WUSCHEL RELATED HOMEOBOX 13 is required for callus growth and organ reconnection,” Plant Physiology, Vol.188, No.1. pp.425-441, 2022. (impact factor=8.34) PDF
  12. E.Shibuya and K.Hotta, “Cell Image Segmentation by Using Feedback and Convolutional LSTM,” Visual Computer, Springer, Vol.38, pp.3791–3801, 2022. (impact factor=2.601) PDF
  13. Y.Hayashi, J.Matsumoto, S.Kumagai, K.Morishita, L.Xiang, Y.Kobori, S.Hori, M.Suzuki, T.Kanamori, K.Hotta, K.Sumaru, “Automated Adherent Cell Elimination by a High-Speed Laser Mediated by a Light-Responsive Polymer”, Communications Biology, Vol.1, Article Number 218, pp.1-9, Nature Research, 2018. (impact factor=5.489) PDF
  14. K.Nishida and K.Hotta, “Robust cell particle detection to dense regions and subjective training samples based on prediction of particle center using convolutional neural network,” PLOS ONE, Vol.13, No.10, 2018. (impact factor=2.806) PDF
  15. A.Imanishi, T.Murata, M.Sato, K.Hotta, I.Imayoshi, M.Matsuda and K.Terai, “A novel morphological marker for the analysis of molecular activities at the single-cell level” Cell Structure and Function, Vol.43, No.2, pp.129-140, 2018 (impact factor=1.9).
  16. S.Kumagai, K.Hotta and T.Kurita, “Mixture of Counting CNNs,” Machine Vision Applications, Springer, Vol.29, No.7, pp.1119-1126, 2018. (impact factor=1.306) PDF
  17. 角田 里美，佐野 実可子，織田 和夫，岡崎 克俊，千葉 達朗，小見山 知也，堀田 一弘，“深層学習 と赤色立体地図を用いた航空レーザデータのフィルタリング手法 の開発,”日本測量学会 応用測量論文集，29, pp.13-24, 2018.
  18. R.Hasegawa and K.Hotta, “PLSNet: Hierarchical Feature Extraction using Partial Least Squares Regression for Image Classification,” IEEJ Transactions on Electrical and Electronic Engineering, Vol. 12, No. S2, pp.S91-S96 , Dec. 2017.
  19. 高田大雅，堀田一弘，“三つのモデルの統合と適応的学習による群衆中の人追跡，”電気学会論文誌C, Vol. 137, No.9, pp.1258-1265, Sept. 2017.
  20. 熊谷章平，大西正輝，堀田一弘，“学習画像の適応選択による動画像中の群衆領域の推定，” 電子情報通信学会論文誌D, J99-D, No.8, pp.757-768,Aug. 2016.
  21. S.Kumagai and K.Hotta, “Particle detection in intracellular images and radius estimation by circle fitting,” IEEJ Transactions on Electrical and Electronic Engineering, Vol.10, No.2 pp.181-185, Mar. 2015.
  22. 熊谷章平，堀田一弘，“Partial Least Squares回帰及び複数特徴量間HLAC特徴を用いた細胞内画像中の粒子計数，”電気学会論文誌C, Vol. 135, No.2, pp.236-243, Feb. 2015.
  23. T.Okabe and K.Hotta, “Melanosome Tracking Using Automatic Error Correction,” IEICE Trans. on Information and Systems, Vol.E97-D, No.12, pp.3201-3209, Dec. 2014.
  24. 丹羽 貴也，堀田一弘，“文脈情報を用いた教師付データが少ない場合に有効な細胞内画像からの輝点検出，”電気学会論文誌C, Vol. 134, No. 11, 1731-1737, Nov. 2014.
  25. T.Omiya and K.Hotta, “Image Labeling by Integration of Local Co-occurrence Histogram and Global Features,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.18, No.4, pp.511-517, Apr. 2014.
  26. K.Chigusa and K.Hotta, “An Asbestos Counting Method in Building Materials by Integrating Various Kinds of Classifiers,” Journal of Signal Processing, Vol.18, No.1, pp.57-62, Jan. 2014.
  27. 熊谷章平，堀田一弘，“識別器を用いた細胞内画像からの輝点計数,”　電子情報通信学会論文誌D, Vol.J96-D, No.4, pp.904-908, Apr. 2013．
  28. K.Hotta, “Local co-occurrence features in subspace obtained by KPCA of local blob visual words for scene classification”, Pattern Recognition, Vol.45, No.10, pp. 3687–3694, Oct. 2012.
  29. K.Hotta, “Local AutoCorrelation of Similarities with Subspaces for Shift Invariant Scene Classification”, Pattern Recognition, Vol.44, No.4, pp.794-799, Apr. 2011.
  30. H.Nagai, H.Takahashi and K.Hotta, “Fast Human Action Recognition Using Conditional Random Field,” Journal of Signal Processing , Vol.14, No.6, pp.499-505, Nov. 2010.
  31. A.Nomoto, K.Hotta and H.Takahashi, “Asbestos Detection in Building Materials Through Consolidation of Similarities in Color and Shape Features,” Journal of Robotics and Mecatoronics, Vol.22, No.4, pp. 496-505, Aug. 2010.
  32. K.Hotta, “Local Normalized Linear Summation Kernel for Fast and Robust Recognition”, Pattern Recognition, Vol.43, No.3, pp.906-913, Elsevier, Mar. 2010.
  33. O.Mercado, K.Hotta, H.Takahashi, M.N.Miyatake, K.T.Medina, H.P.Meana, “Improveing the Eigenphase Method for Face Recognition,” IEICE Electronics Express, Vol.6, No.15, pp.1112-1117, 2009.
  34. K.Hotta, “Pose Independent Classification From Small Number of Training Samples Based on Kernel Principal Component Analysis of Local Parts,” Image and Vision Computing, Vol.27, No.9, pp.1240-1251, Elsevier, Sept. 2009.
  35. K.Hotta, “Adaptive Weighting of Local Classifiers by Particle Filter for Robust Tracking,” Pattern Recognition, Vol.42, No.5, pp.619-628, Elsevier, May 2009.
  36. Moriguchi, K.Hotta and H.Takahashi, “An Asbestos Detection Method From Microscope Images Using Support Vector Random Field of Local Color Features,” 電気学会論文誌C（ビジョン技術の新たな潮流特集号）, Vol.129, No.5, pp.818-823, May 2009.
  37. 鈴山有紀，堀田 一弘，高橋治久，“文脈情報に基づく対象が存在する事前確率の推定，” 電気学会論文誌C (ビジョン技術の新たな潮流特集号), Vol.129, No.5, ppp.832-837, 2009.
  38. K.Kawabata, S.Morishita, H.Takemura, K.Hotta, T.Mishima, H.Asama, H.Mizoguchi and H.Takahashi, “Development of an Automated Microscopic System for Asbestos Qualitative Analysis by Dispersion Staining Method,” Journal of Robotics and Mechatronics, Vol.21 No.2, pp.186-192, Apr. 2009.
  39. K.Hotta, “View Independent Face Detection Based on Horizontal Rectangular Features and Accuracy Improvement Using Combination Kernel of Various Sizes,” Pattern Recognition, Elsevier, Vol.42, No.3, pp.437-444, Mar. 2009.
  40. K.Hotta, “Robust Face Recognition under Partial Occlusion Based on Support Vector Machine with Local Gaussian Summation Kernel,” Image and Vision Computing, Vol.26, No.11, pp.1490-1498, Elsevier, Nov. 2008.
  41. 関口 涼平，高橋 治久，堀田 一弘，“カーネル主成分分析を用いた学習機械のパラメタ自動決定法，”情報処理学会論文誌 数理モデル化と応用，49, No.SIG 4(TOM20), pp.79-87, Mar. 2008．
  42. R.Nakano, K.Hotta and H.Takahashi, “An Object Detection Method Based on Independent Local Features,” Journal of Robotics and Mechatronics, Vol.18, No.6, pp.744-750, Dec. 2006.
  43. K.Hotta, “A Robust Object Tracking Method under Pose Variation and Partial Occlusion,” IEICE Trans. on Information and Systems, Vol.E89-D, No.7, pp.2132-2141, Jul. 2006.
  44. K.Hotta, “A View Independent Video-Based Face Recognition Method Using Posterior Probability in Kernel Fisher Discriminant Space,” IEICE Trans. on Information and Systems, Vol.E89-D, No.7, pp.2150-2156, Jul. 2006.
  45. K.Hotta, M.Tanaka, T.Kurita and T.Mishima, “An Efficient Search Method Based on Dynamic Attention Map by Ising Model,” IEICE Trans. on Information and Systems, Vol.E88-D, No.10, pp.2286-2295, Oct. 2005.
  46. 堀田 一弘，“部分的な隠れに頑健な顔検出法，”電子情報通信学会論文誌D-II, Vol.J88-D-II, No.8, pp.1624-1633, Aug. 2005．
  47. K.Hotta, “A View-Invariant Face Detection Method Based on Local PCA Cells,” Journal of Advanced Computational Intelligence & Intelligent Informatics (JACIII), Vol.8, No.2, pp.130-139, Mar. 2004.
  48. 堀田 一弘，富田 悦次，高橋 治久，“最大クリークに基づく向きの変化に依存しない人物の顔検出，”情報処理学会論文誌 数理モデル化と応用，44, No.SIG14(TOM 9), pp.57-70, Nov. 2003.
  49. 堀田 一弘，三島 健稔，栗田 多喜夫,“未知の画像に対する識別率を用いた顔検出のための特徴点の順序づけ,”電子情報通信学会論文誌 D-II, J84-D-II, No.8, pp.1781-1789, Aug. 2001．
  50. K.Hotta, T.Mishima and T.Kurita, “Scale Invariant Face Detection and Classification Method Using Shift Invariant Features Extracted From Log-Polar Image,” IEICE Trans. on Information and Systems, Vol.E84-D, No.7, pp.867-878, Jul. 2001.
  51. T.Kawamoto, K.Hotta, T.Mishima, J.Fujiki, M.Tanaka and T.Kurita, “Estimation of Single Tones from Chord Sounds Using Non-Negative Matrix Factorization,” International Journal on Neural and Mass-Parallel Computing and Information Systems (Neural Network World), Vol.10, No.3, pp.429-436, Jul. 2000.
  52.  栗田 多喜夫, 堀田 一弘, 三島 健稔,“Log-Polar 画像の高次局所自己相関特 徴 を用いた大きさに不変な顔画像の認識,”電子情報通信学会論文誌 D-II, Vol.J80-D-II, No.8, pp.2209-2217, Aug. 1997. 　

国際会議（フルペーパー査読）：

  1. R.Saito and K.Hotta, “Domain Generalization through Attenuation of Domain-Specific Information,” CVPR Workshop on Domain Generalization: Evolution, Breakthroughs and Future Horizon (DG-EBF2025), Jun.11-15,2025
  2. K.Toida, N.Kato, O.Segawa, T.Nakamura and K.Hotta, “Homography VAE: Automatic Bird’s Eye View Image Reconstruction from Multi-Perspective Views,” The International Conference on Computer Vision Theory and Applications (VISAPP2025), Feb.26-28,2024.
  3. T.Sannnomiya and K.Hotta, “Accuracy Improvement of Neuron Concept Discovery Using CLIP with Grad-CAM-Based Attention Regions,” The International Conference on Computer Vision Theory and Applications (VISAPP2025), Feb.26-28,2024.
  4. T.Mano, R.Saito and K.Hotta, “Accuracy Improvement of Semi-Supervised Segmentation Using Supervised ClassMix and Sup-Unsup Feature Discriminator,” The International Conference on Computer Vision Theory and Applications (VISAPP2025), Feb.26-28,2024.
  5. R.Saito and K.Hotta, “Domain Generalization Using Category Information Independent of Domain Differences,” The International Conference on Pattern Recognition Applications and Methods (ICPRAM2025), Feb.23-25,2025.
  6. S.Kamiya, K.Toida, T.Tsunoyama, K.Hotta, “Tracking Correction Method for Rapid and Random Protein Molecules Movement,” Asian Conference on Computer Vision (ACCV2024), Dec.8-12, 2024.
  7. S.Kamiya, K.Yamashita and K.Hotta, “Boundary Contrastive Learning for Label-Efficient Medical Image Segmentation,” The British Machine Vision Conference (BMVC2024), Nov.25-28, 2024.
  8. Y.Furukawa, S.Kamiya, Y.Sakurada, K.Kashiwagi and K.Hotta, “Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT,” ECCV Workshop on BioImage Computing (BIC2024), Sep.29-Oct.4 2024.
  9. K.Toida, N.Kato, O.Segawa, T.Nakamura and K.Hotta, “Gr-IoU: Ground-Intersection over Union for Robust Multi-Object Tracking with 3D Geometric Constraints,” ECCV Workshop on Affective Behavior Analysis in-the-Wild (ABAW2024), Sep.29-Oct.4 2024.
  10. S.Kato, H.Mitsuoka and K.Hotta, “Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes,” ECCV Workshop on Computational Aspects of Deep Learning (CADL2024), Sep.29-Oct.4 2024.
  11. H.Mitsuoka and K.Hotta, “Accuracy Improvement of Cell Image Segmentation Using Feedback Former,” ECCV Workshop on Human-inspired Computer Vision (HCV2024), Sep.29-Oct.4 2024.
  12. T.Sakai and K.Hotta, “Growing Deep Neural Network Considering with Similarity between Neurons,” ECCV Workshop on Human-inspired Computer Vision (HCV2024), Sep.29-Oct.4 2024.
  13. K.Nagata, H.Ono and K.Hotta, “Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation,” ECCV Workshop on Human-inspired Computer Vision (HCV2024), Sep.29-Oct.4 2024.
  14. K.Yamashita and K.Hotta, “MixStyle-Based Contrastive Test-Time Adaptation: Pathway to Domain Generalization,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2024) Workshops, pp.1029-1037, 2024. PDF
  15. A.Takama and K.Hotta, “Improvement of TransUNet UsingWord Patches Created From Different Dataset,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2024), Feb.24-26, 2024.
  16. T.Sannomiya and K.Hotta, “Visualization of The Basis for Decisions by Selecting Layers Based on  Model’s Predictions Using The Difference Between Two Networks,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2024), Feb.24-26, 2024.
  17. K.Sago and K.Hotta, “Vision Transformer Interpretability via Prediction of Image Reflected Relevance among Tokens,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2024), Feb.24-26, 2024. (Best Paper Finalist)
  18. T.Kurami and K.Hotta, “DeformableFormer for Classifying Endoscopic Ultrasound-Guided Fine-Needle Biopsy in Pancreatic Diseases,” IEEE International Symposium on Multimedia (ISM2013), pp., IEEE, USA, Dec.11-13 2023..
  19. K.Nagata and K.Hotta,”Margin Contrastive Learning with Learnable-Vector for Continual Learning” Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023, pp. 3570-3576
  20. S.Kato and K.Hotta, Y.Hatakeyama, and Y.Konishi, “LITE-HRNET PLUS: FAST AND ACCURATE FACIAL LANDMARK DETECTION,” IEEE International Conference on Image Processing, Malaysia, Oct.8-11, 2023.
  21. S.Kato and K.Hotta, “Enlarged Large Margin Loss for Imbalanced Classification,” IEEE International Conference on System, Man and Cybernetics, Hawaii, Oct.1-4, 2023.
  22. T.Tanaka, T.Fukazawa, Y.Kameya, K.Yamada, K.Hotta, T.Takahashi, N.Sassa, Y.Matsukawa, S.Iwano, T.Yamamoto, “Kidney Cancer Detection from CT Images by Transformer-Based Classifiers,” 13th International Conference on Smart Computing and Artificial Intelligence (SCAI 2023), Fukushima, Jul. 2023.
  23. S.Kato and K.Hotta, “One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt,” CVPR Workshop on Computer Vision for Microscopy Image Analysis (CVMI2023), Canada, Jun.18-22 2023.
  24. S.Kamiya, T.Tsunoyama, A.Kusumi, and K.Hotta, “Single-Particle Tracking by Graph Transformer,” ICASSP2023, 2023.
  25. T.Mano, S.Kato and K.Hotta, “Semantic Segmentation by Semi-Supervised Learning Using Time Series Constraint,” VISAPP2023, Feb19-21, Lisbon, 2023.
  26. H.Fujii and K.Hotta “Adaptive Resolution Selection for Improving Segmentation Accuracy of Small Objects,” VISAPP2023, Feb19-21, Lisbon, 2023.
  27. R.Furukawa and K.Hotta “Shuffle Mixing: An Efficient Alternative to Self Attention,” VISAPP2023, Feb19-21, Lisbon, 2023.
  28. Y.Kakamu, T.Maruyama and K.Hotta, “Re-Learning ShiftIR for Super-Resolution of Carbon Nanotube Images,” VISAPP2023, Feb19-21, Lisbon, 2023.
  29. A.Takama, S.Kato, S.Kamiya and K.Hotta, “Improvement of Vision Transformer Using Word Patches,” VISAPP2023, Feb19-21, Lisbon, 2023.
  30. R.Ikedo, K.Nagata and K.Hotta, “Class-wise Knowledge Distillation for Lightweight Segmentation Model,” BIOSIGNALS2023.Feb 16-18, Lisbon, 2023.
  31. S.Yamada, S.Kamiya and K.Hotta, “Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2022), Oct.23-27 2022.
  32. R.Furukawa and K.Hotta, “LOCAL EMBEDDING FOR AXIAL ATTENTION,” IEEE International Conference on Image Processing (ICIP2022), Oct.16-19 2022.
  33. Y.Kakamu and K.Hotta, “Predicting Human Behavior Using 3D Loop ResNet,” International Conference on Pattern Recognition (ICPR2022), Aug.21-25 2022.
  34. R.Furukawa, Y.Hayashi, H.Kano, J.Matsumoto, S.Honda, and K.Hotta, “Discovery of Effective Spectrum for Classifying iPS Cells Taken with CARS Microscope,” 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSIGNALS2022), pp.230-237, Feb.9-11, 2022.
  35. H.Fujii, N.Minamino, T.Ueda, Y.Kondo, and K.Hotta, “Classification and Analysis of Liverwort Sperm by Integration-Net,” 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP2022), pp.700-706, Feb.6-8, 2022.
  36. R.Ikedo and K.Hotta. “Fusion of Different Features by Cross Cooperative Learning for Semantic Segmentation,” 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP2022), pp.2582-589, Feb.6-8, 2022.
  37. S.Kato and K.Hotta, “Automatic Preprocessing and Ensemble Learning for Cell Segmentation with Low Quality,” IEEE International Conference on System, Man and Cybernetics(SMC2022), pp., IEEE, Oct.17-20 2021.
  38. R.Furukawa and K.Hotta, “Localized Feature Aggregation Module for Semantic Segmentation,” IEEE International Conference on System, Man and Cybernetics(SMC2022), pp., IEEE, Oct.17-20 2021.
  39. H.Fujii, H.Tanaka, M.Ikeuchi and K.Hotta, “X-net with Different Loss Functions for Cell Image Segmentation,” CVPR Workshop on Computer Vision for Microscopy Image Analysis (CVMI2021), USA(Virtual), Jun.25 2021.
  40. R.Ikedo and K.Hotta, “Feature Sharing Cooperative Network for Semantic Segmentation,” VISAPP2021, Vol.4, pp.577-584, Virtual, Feb.8-10, 2021.
  41. T.Ando and K.Hotta, “Cell image segmentation by Feature Random Enhancement Module,” VISAPP2021, Vol.4, pp.520-527, Virtual, Feb.8-10, 2021.
  42. H.Tsuda, E.Shibuya and K.Hotta, “Feedback Attention for Cell Image Segmentation,” ECCV Workshop on Bioimage Computing (BIC2020), pp.365-379, Virtual, Aug.23 2020.
  43. E.Shibuya and K.Hotta, “Feedback U-net for Cell Image Segmentation,” CVPR Workshop on Computer Vision for Microscopy Image Analysis (CVMI2020), Seatle, USA, Jun.19 2020.
  44. M.Takahashi, Y.Kameya, Keiichi Yamada, K.Hotta, T.Takahashi,　N.Sasa, S.Iwano and T.Yamamoto, “An Empirical Study on the Use of Visual Explanation in Kidney Cancer Detection,” 12th International Conference on Digital Image Processing, Osaka, May 2020.
  45.  Y.Hiramatsu and K.Hotta, “Semantic Segmentation using Light Attention Mechanism,” VISAPP2020, Vol.4, pp.622-625, Malta Feb.27-29 2020.
  46.  S.Kato and K.Hotta, “Pitching Classification and Habit Detection by V-Net,” VISAPP2020, Vol.4, pp.615-621, Malta Feb.27-29 2020.
  47. S.Kato and K.Hotta, “Cell Segmentation by Image-to-Image Translation using Multiple Different Discriminators,” BIOSIGNALS2020, Malta Feb.24-26 2020.
  48.  D.Matsuzuki and K.Hotta, “Visualizing and Modifying Difficult Pixels in Cell Image Segmentation,” BIOSIGNALS2020, Malta Feb.24-26 2020.
  49.  R.Kamiya, K.Sawada and K.Hotta, “Ensemble of Training Models for Road and Building Segmentation,” International Conference on Digital Image Computing: Techniques and Applications (DICTA2019), Dec.2-4 2019.
  50.  T.Sato and K.Hotta, “EncapNet-3D and U-EncapNet for Cell Segmentation,” International Conference on Digital Image Computing: Techniques and Applications (DICTA2019), Dec.2-4 2019.
  51.  J.Komori and K.Hotta, “AB-PointNet for 3D Point Cloud Recognition,” International Conference on Digital Image Computing: Techniques and Applications (DICTA2019), Dec.2-4 2019.
  52.  H.Tsuda and K.Hotta, “Cell Image Segmentation by Integrating Pix2pixs for Each Class,” CVPR Workshop on Computer Vision for Microscopy Image Analysis (CVMI2019), Long Beach, USA, Jun.16 2019.
  53.  D.Matsuzuki and K.Hotta, “Semantic Segmentation by Integrating Classifiers for Different Difficulty Levels,” International Symposium on Visual Computing (ISVC2018), Lecture Notes in Computer Science, Vol.11241, pp.607-615, Las Vegas, USA, Nov.19-21 2018.
  54.  Y.Hiramatsu, K.Hotta, A.Imanishi, M.Matsuda and K.Terai, “Cell Image Segmentation by Integrating Multiple CNNs,” CVPR Workshop on Computer Vision for Microscopy Image Analysis (CVMI2018), Salt lake city, USA, Jun.22 2018.
  55.  T.Komiyama, K.Hotta, K.Oda, S.Kakuta and M.Sano, “Semantic Segmentation in Red Relief Image Map by UX-Net,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2018), pp.597-602, Jan.16-18, 2018.
  56.  R.Kamiya, K.Hotta, K.Oda and S.Kakuta, “Road Detection From Satellite Images by Improving U-net with Difference of Features,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2018), pp.603-607, Jan.16-18, 2018.
  57.  M.Umemura, K.Hotta, K.Oda and H.Nonaka, “Segmentation of LiDAR Intensity Using Weighted Fusion Based on Appropriate Region Size,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2018), pp.608-613, Jan.16-18, 2018.
  58.  M.Sato, K.Hotta, A.Imanishi, M.Matsuda and K.Terai, “Segmentation of Cell Membrane and Nucleus by Improving Pix2pix,” International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS2018), pp.216-220, Jan.19-21 2018.
  59.  T.Murata, K.Hotta, A.Imanishi, M.Matsuda and K.Terai, “Segmentation of Cell Membrane and Nucleus Using Branches with Different Roles in Deep Neural Network,” International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS2018), pp.256-261, Jan.19-21 2018.
  60.  K.Adachi and K.Hotta, “Model Free Object Tracking Using CNN features and Color information,” International Symposium on Nonlinear Theory and Its Applications (NOLTA2017), pp.688-691, Dec.4-7 2017.
  61.  T.Takeshita and K.Hotta, “Action Recognition Using Motion Emphasis and Video Divisions,” International Symposium on Nonlinear Theory and Its Applications (NOLTA2017), pp.696-699, Dec.4-7 2017.
  62. M.Umemura and K.Hotta, K.Oda and H.Nonaka “Segmentation of LiDAR Intensity Using CNN feature Based on Weighted Voting,” International Conference on Image Analysis and Recognition (ICIAR2017), Lecture Notes in Computer Science Vol.10317, pp.578-585, Springer, Canada, 2017.
  63.  R.Hasegawa and K.Hotta, “Hierarchical Feature Extraction Using Partial Least Squares Regression and Clustering for Image Classification,” International Conference on Computer Vision Theory and Applications (VISAPP2017), pp390-395, Portogal, Feb.27-Mar.1 2017.
  64.  K.Toyoda and K.Hotta, “Abnormal Detection by Iterative Reconstruction,” International Symposium on Visual Computing (ISVC2016), Lecture Notes in Computer Science, Vol.10072, pp.443-453, Las Vegas, USA, Dec.12-14 2016.
  65.  K.Nishida and K.Hotta, “Particle Detection in Crowd Regions Using Cumulative Score of CNN,” International Symposium on Visual Computing (ISVC2016), Lecture Notes in Computer Science, Vol.10072, pp.566-575, Las Vegas, USA, Dec.12-14 2016.
  66.  H.Takada, K.Hotta and P.Janney, “Human Tracking in Crowded Scenes Using Target Information at Previous Frames,” International Conference on Pattern Recognition (ICPR2016), pp.1810-1815, IEEE, Cancun, Dec.4-8 2016.
  67.  R.Hasegawa and K.Hotta, “PLSNet: A Simple Network Using Partial Least Squares Regression for Image Classification,” International Conference on Pattern Recognition (ICPR2016), pp.1602-1607, IEEE, Cancun, Dec.4-8 2016.
  68.  K.Toyoda and K.Hotta, “A Particle Detection Method Using Robust PCA,” IEEE/SICE International Symposium on System Integration (SII2015), pp.438-442, IEEE, Nagoya, Dec.11-13 2015.
  69.  N.Morimoto and K.Hotta, “A Object Classification Method Using Product of Randomly Selected Elements,” IEEE/SICE International Symposium on System Integration (SII2015), pp.428-432, IEEE, Nagoya, Dec.11-13 2015.
  70. T.Ishida and K.Hotta, “Image Labeling by Integrating Local, Middle and Global Information,” International Conference on Digital Image Computing: Techniques and Applications (DICTA2015), pp.397-404, IEEE, Australia, Nov.23-25 2015.
  71.  T.Takada and K.Hotta, “Robust Human Tracking to Occlusion in Crowded Scenes,” International Conference on Digital Image Computing: Techniques and Applications (DICTA2015), pp.645-652, IEEE, Australia, Nov.23-25 2015.
  72.  R.Hasegawa and K.Hotta, “Stacked Partial Least Squares Regression for Image Classification,” Asian Conference on Pattern Recognition (ACPR2015), pp.765-769, IEEE, Malaysia, Nov.3-6 2015.
  73.  T.Omiya, T.Ishida and K.Hotta, “Image Labeling by Integrating Global Information by 7 Patches and Local Information,” International Conference on Computer Vision Theory and Applications (VISAPP2015), pp.536-541, Berlin, Germany, Mar.11-14 2015.
  74.  Y.Tani and K.Hotta, “Robust Human Detection Using Bag-of-Words and Segmentation,” International Conference on Computer Vision Theory and Applications (VISAPP2015), pp.504-509, Berlin, Germany, Mar.11-14 2015.
  75.  S.Kumagai and K.Hotta, “HLAC between Cells of HOG Feature for Crowd Counting,” International Symposium on Visual Computing (ISVC2014), Lecture Notes in Computer Science, Vol.8887, pp.688-697, Las Vegas, USA, Dec.8-10 2014.
  76.  Y.Tani and K.Hotta, “Robust Human Detection to Pose and Occlusion Using Bag-of-Words,” International Conference on Pattern Recognition (ICPR2014), pp.4376-4381, Sweden, Aug.24-28 2014.
  77.  T.Okabe and K.Hotta, “Accuracy Improvement of Melanosome Tracking by Error Correction,” International Conference on Digital Image Computing: Techniques and Applications (DICTA2013), pp.320-327, IEEE, Australia, Nov.26-28 2013.
  78.  S.Kumagai and K.Hotta, “Light Spot Counting in Intracellular Images using Partial Least Squares Regression and Correlation between Features,” 1st International Workshop on BioImage Recognition (BIR2013), pp.275-280, IEEE, Matsuyama, Dec.4-6 2013.
  79.  T.Hayashi and K.Hotta, “Action Recognition Using Effective Mask Patterns Selected from an Classificational Viewpoint,” IEEE International Symposium on Multimedia (ISM2013), pp.140-146, IEEE, Dec.9-11 2013. (Regular paper: acceptance rate is 21.3%
  80.  T.Omiya and K.Hotta, “Image Labeling Using Integration of Local and Global Features,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2013), pp.613-618, Spain, Feb.15-17 2013.
  81. T.Niwa and K.Hotta, “Unsupervised Light Spot Detection Using Background Subtraction,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2013), pp.518-521, Spain, Feb.15-17 2013.
  82.  M.Shimomura and K.Hotta, “Melanosome Tracking Using Prediction by Support Vector regression and Revision by Appearance Features,” 10th International Conference on Signal Processing (SPPRA2013), pp.452-457, Austria, Feb.12-14 2013.
  83.  S.Ito, T.Hayashi and K.Hotta, “Unsupervised Mask Patterns Generation for Extracting Action Specific Motion Features,” 8th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS2012), pp.351-358, IEEE, Italy, Nov.25-29 2012.
  84.  S.Kumagai and K.Hotta, “Counting and Radius Estimation of Liquid Droplet in Intracellular Images,” IEEE International Conference on System, Man and Cybernetics, pp.67-71, IEEE, Korea, Sept.14-17 2012.
  85.  T.Okabe and K.Hotta, “Melanosome Tracking by Bayes Theorem and Estimation of Movable Region,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), pp.482-487, Portugal, Feb.6-8 2012.
  86.  K.Hotta, “Scene Classification Using Candidate Classes Selection with Particle Filter and Criterion Mining for Final Decision with Adaboost,” Digital Image Computing: Techniques and Applications (DICTA2011), pp.126-133, IEEE Australia, Dec.6-8 2011.
  87.  K.Hotta, “Scene Classification Using Adaptive Integration of Reconstruction Errors,,” Asian Conference on Pattern Recognition (ACPR2011), pp.154-158, IEEE, China, Nov.28-30 2011 .
  88.  K.Hotta, “Integration of Reconstruction Error Obtained by Local and Global Kernel PCA with Different Role,” 19th International Conference on Computer Graphics, Visualization and Computer Vision (WSCG2011), pp.91-98, Czech Republic, Jun.31-Feb.3 2011.
  89.  K.Hotta, “Scene Classification Using Local Co-occurrence Feature in KPCA Space of Local Blob Visual Words,” International Conference on Pattern Recognition (ICPR2010), pp.4230-4233, Istanbul, Turkey, Aug.23-26 2010.
  90.  Y.Moriguchi, K.Hotta and H.Takahashi, “Accuracy Improvement of Asbestos Detection by Rectangular Neighboring Region for SVRF of Local Color and Shape Features,” 7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SSPRA2010), pp.221-227, Innsbruck, Austria, Feb.17-19 2010.
  91.  T.Tanaka, K.Hotta and H.Takahashi, “Object Categorization Based on Probabilistic Integration of Local and Global Features,” 7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SSPRA2010), pp.325-332, Innsbruck, Austria, Feb.17-19 2010.
  92.  Y.Mimura, K.Hotta and H.Takahashi, “Action Recognition Based on Estimation of Conditional Probability by Non-parametric Model,” International Symposium on Visual Computing (ISVC2009), Lecture Notes in Computer Science, Vol.5867, pp.489-498, Las Vegas, USA, Nov.30-Dec.2 2009.
  93.  K.Hotta, “Scene Classification Based on Local AutoCorrelation of Similarities with Subspaces”, International Conference on Image Processing (ICIP2009), pp.2053-2056, Cairo, Egypt, Nov.7-11 2009.
  94.  Y.Tsubota, K.Kawabata, H.Yamazaki, T.Mishima, K.Hotta, H.Asama, H.Mizoguchi and H.Takahashi, “Development of a Polarized Microscopic Image Management System for Supporting Asbestos Qualitative Analysis utilizing Dispersion Staining,” 35th Annual Conference of the IEEE Industrial Electronics Society (IECON2009), Porto, Portugal, Nov.3-5 2009.
  95.  T.Ishihara, K.Hotta and H.Takahashi, “Estimation of Object Position Based on Color and Shape Contextual Information,” Proc. of 15th International Conference on Image Analysis and Processing (ICIAP2009), Lecture Notes in Computer Science, Vol.5716, pp.825-834, Salerno, Italy, Sep.8-11 2009.
  96.  K.Kawabata, H.Yamazaki, Y.Tsubota, T.Mishima, K.Hotta, H.Asama, H.Mizoguchi and H.Takahashi, “Development of an Automatic Polarized Microscopic Imaging System for Asbestos Qualitative Analysis,” IEEE/ASME Conference on Advanced Intelligent Mechatronics (AIM2009), Singapore, Jul.14-17 2009.
  97.  K.Hotta, “Non-linear Feature Extraction by Linear PCA Using Local Kernel,” 19th International Conference on Pattern Recognition (ICPR2008), IEEE, Tampa, USA, Dec.8-11 2008.
  98.  J.O.-Mercado, K.Hotta, H.Takahashi, H.P.-Meana and G.S-Perez, “Face Recognition Based on Normalization and the Phase Spectrum of the Local Part of an Image,” Proc. 4th International Symposium on Visual Computing (ISVC2008), Lecture Notes in Computer Science, Vol.5359, pp.278-286, Springer, Las Vegas, Nevada, USA, Dec.1-3, 2008.
  99.  Y.Moriguchi, K.Hotta and H.Takahashi, “Asbestos Detection From Microscope Images Using Support Vector Random Field of Local Color Features,” 15th International Conference on Neural Information Processing (ICONIP2008), Lecture Notes in Computer Science, Vol.5507, pp.344-352, Springer, Auckland, Newzealand, Nov.25-28, 2008.
  100.  A.Nomoto, K.Hotta, H.Takahashi, “An Asbestos Counting Method From Microscope Images Using Summation Kernel of Color and Shape,” 15th International Conference on Neural Information Processing (ICONIP2008), Lecture Notes in Computer Science, Vol.5507, pp.671-678, Springer, Auckland, Newzealand, Nov.25-28, 2008.
  101.  H.Kuba, K.Hotta, H.Takahashi, “Automatic Particle Detection and Counting Using One-Class Support Vector Machine,” 15th International Conference on Neural Information Processing (ICONIP2008), Lecture Notes in Computer Science, Vol.5507, pp.361-368, Springer, Auckland, Newzealand, Nov.25-28, 2008.
  102.  J.O.-Mercado, K.Hotta, H.Takahashi, H.P.-Meana and G.S-Perez, “Face Recognition Based on the Phase Spectrum of Local Normalized Image,” Mexican International Conference on Artificial Intelligence (MICAI2008), pp.123-127, IEEE, Oct.26-31, 2008.
  103.  K.Hotta, “Scene Classification Based on Multi-resolution Orientation Histogram of Gabor Features,” International Conference on Computer Vision Systems (ICVS2008), Lecture Notes in Computer Science, Vol.5008, pp.291-301, Springer, Santorini, Greece, May.12-15 2008.
  104.  K.Hotta, “Object Categorization Based On Kernel Principal Component Analysis of Visual Words,” IEEE Workshop on Applications of Computer Vision (WACV2008), pp.4_1-8, IEEE, USA, Jan.6-8, 2008.
  105.  K.Hotta, “Fast, Accurate and Robust Recognition Based On Summation of Local Normalized Linear Kernels,” Digital Image Computing: Techniques and Applications (DICTA2007), pp.470-477, IEEE, Australia, Dec.3-5, 2007.
  106.  K.Hotta, “View Independent Face Detection Based on Combination of Local and Global Kernels,” International Conference on Computer Vision Systems (ICVS2007), pp.38_1-10, Bielefield University, Germany, Mar.21-24 2007.
  107.  K.Hotta, “Support Vector Machine with Weighted Summation Kernel Obtained by Adaboost,” IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS2006), pp.11_1-6, IEEE, Sydney, Australia, Nov.22-24 2006.
  108.  K.Hotta, “Adaptive Weighting of Local Classifiers by Particle Filter,” Proc. of 18th International Conference on Pattern Recognition (ICPR2006), Vol.2, pp.610-613, IEEE, Hong Kong Convention and Exhibition Centre, Hong Kong, China, Aug.20-24 2006.
  109.  K.Hotta, “View Independent Face Recognition Based on Kernel Principal Component Analysis of Local Parts,” Proc. IEEE International Conference on Image Processing (ICIP2005), Vol.III, pp.760-763, IEEE, Genova, Italy, Sep.11-14 2005.
  110.  K.Hotta, “View Independent Video-Based Face Recognition Using Posterior Probability in Kernel Fisher Discriminant Space,” Proc. International Conference on Advanced in Pattern Recognition (ICAPR2005), Lecture Notes in Computer Science Vol.3687, pp.103-111, Springer, Bath, United Kingdom, Aug.22-25 2005.
  111.  K.Hotta, “A Robust Face Detector under Partial Occlusion,” Proc. IEEE International Conference on Image Processing (ICIP2004), pp.597-600, IEEE, Suntec Singapore International Convention & Exhibition Centre, Singapore, Oct.24-27 2004.
  112.  T.Tsunekawa, K.Hotta and H.Takahashi, “Lipreading Using Recurrent Neural Prediction Model,” International Conference on Image Analysis and Recognition (ICIAR2004), Lecture Notes in Computer Science Vol.3212, pp.405-412, Springer, Porto, Portugal, Sep.29-Oct.1 2004.
  113.  K.Hotta, “Support Vector Machine with Local Summation Kernel for Robust Face Recognition,” Proc. of 17th International Conference on Pattern Recognition (ICPR2004), Vol.3, pp.482-485, IEEE, Cambridge, United Kingdom, Aug.23-26 2004.
  114.  K.Hotta, “View-Invariant Face Detection Method Based Local PCA Cells,” Proc. of 12th International Conference on Image Analysis and Processing (ICIAP2003), pp.57-62, IEEE, Teatro Bibiena, Mantova, Italy, Sep.17-19 2003.
  115.  K.Hotta, “Object Detection Method Based On Local Kernels and Automatic Kernel Selection by Kullback-Leibler Divergence,” Proc. of Sixth IEEE Workshop on Applications of Computer Vision (WACV2002), pp.105-111, IEEE, Orland and World Center Marriott, Orland, USA, Dec.3-4 2002.
  116.  T.Kurita, K.Hotta and T.Mishima, “Feature Ordering by Cross Validation for Face Detection,” IAPR Workshop on Machine Vision Applications (MVA2000), pp.211-214, The University of Tokyo, Tokyo, Japan, Nov.28-30 2000.
  117.  T.Kurita, M.Tanaka, K.Hotta, H.Shimai and T.Mishima, “Efficient Face Detection from News Images by Adaptive Estimation of Prior Probabilities and Ising Search,” 15th International Conference on Pattern Recognition (ICPR2000), Vol.2, pp.921-924, IEEE, Hotel Barcelo Sants, Balcerona, Spain, Sep.3-7 2000.
  118.  T.Kawamoto, K.Hotta, T.Mishima, J.Fujiki, M.Tanaka and T.Kurita, “Estimation of Single Tones from Chord Sounds Using Non-Negative Matrix Factorization,” 10th Anniversary International Conference on Artificial Neural Networks and Intelligent Systems (NNW2000), pp.429-436, Prague, Czech Republic, Jul.9-12 2000.
  119.  K.Hotta, T.Kurita, S.Umeyama and T.Mishima, “Face Matching through Information Theoretical Attention Points and Its Applications to Face Detection and Classification,” Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG2000), pp.34-39, IEEE, Grenoble, France, Mar.28-30 2000.
  120.  I.Hara, A.Zelinsky, T.Matui, H.Asoh, T.Kurita, M.Tanaka and K.Hotta, “Communicative Functions to Support Human Robot Cooperation,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS99), Vol.2, pp.683-688, IEEE, Hyundai Hotel, Kyungju, Korea, Oct.17-21 1999.
  121.  M.Tanaka, K.Hotta, T.Kurita and T.Mishima, “Dynamic Attention Map by Ising Model for Human Face Detection,” Proceedings of 14th International Conference on Pattern Recognition (ICPR98), pp.1044-1046, IEEE, Convention and Exhibition Centre, Brisbane, Australia, Aug.17-20 1998.
  122.  K.Hotta, T.Kurita and T.Mishima, “Scale Invariant Face Detection Method using Higher-Order Local Autocorrelation Features of Log-Polar Image,” Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition (FG98), pp.70-75, IEEE, Nara-ken New Public Hall, Nara, Japan, Apr.14-16 1998.
  123.  T.Kurita, K.Hotta and T.Mishima, “Scale and Rotation Invariant Recognition Method using Higher-Order Local Autocorrelation Features of Log-Polar Image,” Proceedings of third Asian Conference on Computer Vision (ACCV98), Vol.II, Lecture Notes in Computer Science Vol.1352, pp.89-96, Springer, The Hong Kong University of Science and Technology, Hong Kong, China, Jan.8-10 1998.

国際会議（アブストラクト査読）：

  1.  T.Sato and K.Hotta, “CNN to Capsule Network Transformation,” Short paper at International Conference on Digital Image Computing: Techniques and Applications (DICTA2020), Nov.29-Dec.2 2020. (short paper)
  2.  S.Kato and K.Hotta, “Unsupervised High Resolution of Cell Images Using Deep Learning,” Proc. International Conference on Systems Biology (ICSB2019), Okinawa, Nov. 2019.
  3. D.Matuzuki and K.Hotta, “Cell Image Segmentation Using Attention Module at Each Layer,” Proc. International Conference on Systems Biology (ICSB2019), Okinawa, Nov. 2019.
  4. Y.Hiramatsu and K.Hotta, “Medical image segmentation by CNN using the relationship between features of different layers,” Proc. International Conference on Systems Biology (ICSB2019), Okinawa, Nov. 2019.
  5. S.Kato, K.Hotta, A.Imanishi, K.Terai, M.Matsuda “Cell Image Segmentation by Pix2pix Using Multiple Different Discriminators, ” IEEE International Symposium on Biomedical Imaging (ISBI2019), Italy, Apr.8-11 2019.
  6. H.Tsuda, K.Hotta, A.Imanishi, M.Matsuda and K.Terai, “CELL IMAGE SEGMENTATION BY PIX2PIXS WITH MULTIPLE DIFFERENT ROLES,” IEEE International Symposium on Biomedical Imaging (ISBI2019), Italy, Apr.8-11 2019.
  7. K.Sawada, K.Hotta, A.Imanishi, M.Matsuda and K.Terai, “Segmentation of Cell Images by Leaking the Information of Discriminator to Generator,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2018), Hawaii, USA, Jul.17-21, 2018.
  8. M.Sato, K.Hotta, A.Imanishi, M.Matsuda and K.Terai, “Segmentation of cell membrane and cell nucleus Using pix2pix of Local Regions ,” International Symposium on Imaging Frontier(ISIF2017), P50E, Jul.8-9 2017.
  9. M.Umemura, K.Hotta,H.Nonaka and K.Oda, “Image Labeling For LiDAR Intensity Image Using K-NN of Feature Obtained by Convolutional Neural Network,” ISPRS Congress, pp.931-935, Prague, Jul.12-19 2016.
  10.  K.Nishida and K.Hotta, “Scale Invariant Particle Detection Using CNN of Log-Polar Image,” IEEE CVPR Workshop on BioImage Computing, Boston, Jun.7-12 2015.
  11. S.Kumagai and K.Hotta, “Light Spot Counting in Intracellular Images using Partial Least Squares Regression,” 14th International Conference on Systems Biology, pp.491, Copenhagen, Aug.30-Sept.3 2013.
  12. T.Niwa and K.Hotta, “Light Spot Detection in Intracellular Images Using Contextual Information,” 14th International Conference on Systems Biology, pp.496, Cophenhagen, Aug.30-Sept.3 2013.
  13. K.Chigusa and K.Hotta, “Asbestos Counting in Building Materials by Integrating Various Kinds of Classifiers,” 2012 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP2012), pp.576-579 , Hawaii, USA, Mar.4-7 2013.
  14. S.Kumagai, T.Itoh and K.Hotta, “Light Spot Counting in Intracellular Images Using Regression and Classifier,” 12th International Conference on Systems Biology, pp.216, Mannheim, Aug.28-Sept.2 2011.
  15. H.Nagai, H.Takahashi and K.Hotta, “Fast Human Action Recognition Using Conditional Random Field,” 2010 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP2010), pp.648-651, Marriott Resort & Spa, Honolulu, Hawaii, USA, Mar.3-5 2010.
  16. S.Nomoto, H.Takahashi and K.Hotta, “The Text Regions Extraction from General Scenes Using Edge Comparing and Support Vector Machine,” 2010 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP2010), pp.612-615, Marriott Resort & Spa, Honolulu, Hawaii, USA, Mar.3-5 2010.
  17. R.Sekiguchi, H.Takahashi and K.Hotta, “The Automatic Parameter Tuning for Multi-class Learning with KFDA,” 2010 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP2010), pp.190-193, Marriott Resort & Spa, Honolulu, Hawaii, USA, Mar.3-5 2010.
  18. K.Aso, H.Takahashi and K.Hotta, “Recurrent Temporal Restricted Boltzmann Machine for Motion Recognition,” 2010 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP2010), pp.512-515, Marriott Resort & Spa, Honolulu, Hawaii, USA, Mar.3-5 2010.
  19. T.Kishimoto, H.Takahashi and K.Hotta, “Japanese Morphological Analysis Reflecting Result of Dependency,” 2009 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP2009), pp.313-316, Hilton Waikiki Prince Kuhio, Honolulu,Hawaii, USA, Mar.1-3 2009.
  20. K.Hotta, “Robust Object Tracking Under Pose Variation,” Proceedings of SPIE, Vol.6051, (SPIE International Symposium on Optomechatronic Technologies), pp.60510T(1)-(12), SPIE, Sapporo Convention Center, Sapporo, Japan, Dec.5-7 2005.
  21. R.Nakano, K.Hotta and H.Takahashi, “Object Detection Using Independent Local Feature Extractor,” Proceedings of SPIE, Vol.6051, (SPIE International Symposium on Optomechatronic Technologies), pp.605106(1)-(8), SPIE, Sapporo Convention Center, Sapporo, Japan, Dec.5-7 2005.
  22. K.Hotta, T.Kurita and T.Mishima, “Scale Invariant Face Recognition Using Spectral Features of Log-Polar Image,” Proceedings of SPIE, Vol.3808, (Applications of Digital Image Processing XXII), pp.33-43, SPIE, Colorado Convention Center, Denver, Colorado, USA, Jul.18-23 1999.
  23. M.Tanaka, K.Hotta, T.Kurita and T.Mishima, “Multilevel Dynamic Attention Map for Human Face Detection,” Proceedings of SPIE, Vol.3454, (Vision Geometry VII), pp.274-285, SPIE, San Diego Convention Center, San Diego, California, USA, Jul.19-24 1998.
  24. K.Hotta, M.Tanaka, T.Kurita and T.Mishima, “Multilevel Ising Search for Human Face Detection,” Proceedings of SPIE, Vol.3460, (Applications of Digital Image Processing XXI), pp.202-213, SPIE, San Diego Convention Center, San Diego, California, USA, Jul.19-24 1998.

解説論文：

  1. 河合瞳、谷田部恭、吉澤明彦、酒井康裕、堀田一弘、野口雅之、松原大祐、臓器別AI (1)肺癌とAI、病理と臨床, Vol.42, No.3, 2024.
  2. 石川卓哉、堀田一弘、膵EUS-FNA/BにおけるAI診断の有用性、BIOCLINICA, Vol.39, No.1, pp.28-32, 2024.
  3. 梅村将生，野中秀樹，織田和夫，堀田一弘　“Convolutional Neural Networkによる特徴抽出とK-最近傍法を用いたオルソ画像のセグメンテーション,”　写真測量とリモートセンシング, Vol.61, No.3, pp.125-126, 2022.
  4. 藤井春樹，田中隼人，池内桃子，堀田一弘　“X-netによる細胞画像のセグメンテーション” 画像ラボ，Jun.2022.
  5. 堀田一弘, “ディープラーニングに基づく画像認識の更なる進展 ―教師なし表現学習とTransformerを中心として―, ” 電子情報通信学会 基礎・境界ソサイエティ Fundamentals Review, 15巻, 4号 pp. 258-267, Apr. 2022. PDFダウンロード
  6. 藤井春樹，田中隼人，池内桃子，南野尚紀，上田貴志，近藤洋平，堀田一弘，“深層学習の植物画像解析への応用”アグリバイオ2022年3月号, 北隆館，Feb. 2022.
  7. 加藤聡太，堀田一弘, “距離学習を用いたCT画像からのCOVID-19の識別,” 日本医用画像工学会 Medical Imaging Technology, Vol.39, No.1, pp.20-26, 2021.
  8. 堀田一弘, “Deep learning を用いた細胞内画像中の粒子検出,” 生体の科学, Vol.68, No.5, 2017.
  9. 堀田一弘, “機械学習を用いた細胞内画像中の粒子検出,” 画像ラボ, Vol.27, No.2, pp.59-64, Feb.2016.
  10. 堀田一弘, “細胞内画像からの粒子検出と追跡,” 日本医用画像工学会 MEDICAL IMAGING TECHNOLOGY, Vol.33, No.3, pp.90-96, 2015.
  11. 堀田一弘，“顔認識の研究動向，”画像ラボ, Vol.21, No.12, pp.15-20, 日本工業出版社, Dec.2010.
  12. 堀田一弘，“顔認識の研究動向，”映像情報メディア学会誌，pp.7-10, Apr.2010.

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