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portfolio
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publications
Construction of CNNs for Abnormal Heart Sound Detection using Data Augmentation
Published in IMECS 2021 [Paper]
Citation: Shumpei Takezaki, Kazuya Kishida, "Construction of CNNs for Abnormal Heart Sound Detection using Data Augmentation", IMECS 2021
Conditional GANによる医療画像のデータ拡張
Published in IEICE Kyushu 2022
Citation: 竹崎 隼平,田中聖人,内田誠一,門田健明, "Conditional GANによる医療画像のデータ拡張", IEICE Kyushu 2022
連続的な変化を考慮した医用画像生成
Published in 学術変革領域「挑戦的両性花原理」若手の会 2022
Citation: 竹崎 隼平, "連続的な変化を考慮した医用画像生成", 学術変革領域「挑戦的両性花原理」若手の会 2022
重症度が連続的に変化する医用生成画像を用いたデータ拡張
Published in PRMU 2022 December
Citation: 竹崎 隼平,田中聖人,内田誠一,門田健明, "重症度が連続的に変化する医用生成画像を用いたデータ拡張", PRMU 2022 December
Disease Severity Regression with Continuous Data Augmentation
Published in ISBI 2023 [Paper]
Citation: Shumpei Takezaki, Seiichi Uchida, "Disease Severity Regression with Continuous Data Augmentation", ISBI 2023
事前学習済みU-Netによる画像処理パイプライン
Published in MIRU 2023 Poster
Citation: 竹崎 隼平,Weizhi shi,Gantugs Atarsaikhan,内田誠一, "事前学習済みU-Netによる画像処理パイプライン", MIRU 2023 Poster
拡散モデル:ノイズ除去による画像生成
Published in 学術変革領域「挑戦的両性花原理」若手の会 2023
Citation: 竹崎 隼平, "拡散モデル:ノイズ除去による画像生成", 学術変革領域「挑戦的両性花原理」若手の会 2023
重症度クラスを条件とした拡散モデルによる医用画像生成
Published in PRMU 2023 November
Citation: 竹崎 隼平,内田誠一, "重症度クラスを条件とした拡散モデルによる医用画像生成", PRMU 2023 November
Font Style Interpolation with Diffusion Models
Published in ICDAR 2024 [Paper]
Citation: Tetta Kondo, Shumpei Takezaki, Daichi Hraguchi, Seiichi Uchida, "Font Style Interpolation with Diffusion Models", ICDAR 2024
Cross-Domain Image Conversion by CycleDM
Published in ICDAR 2024 [Paper]
Citation: Sho Shimotsumagari, Shumpei Takezaki, Daichi Hraguchi, Seiichi Uchida, "Cross-Domain Image Conversion by CycleDM", ICDAR 2024
拡散モデルによる活字画像の生成
Published in PRMU 2024 March
Citation: 下津曲将, 竹崎 隼平,原口大地,内田誠一, "拡散モデルによる活字画像の生成", PRMU 2024 March
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels
Published in ISBI 2024 [Paper]
Citation: Shumpei Takezaki, Seiichi Uchida, "An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels", ISBI 2024
Cyclic Diffusion Modelの提案とその文字画像変換への応用
Published in MIRU 2024 Oral
Citation: 下津曲将, 竹崎 隼平,原口大地,内田誠一, "Cyclic Diffusion Modelの提案とその文字画像変換への応用", MIRU 2024 Oral
撮像条件情報を用いたガイダンスを導入した拡散モデルによる光超音波画像の画質改善
Published in MIRU 2024 Oral
Citation: 江口達大, 竹崎 隼平,備瀬竜馬, "撮像条件情報を用いたガイダンスを導入した拡散モデルによる光超音波画像の画質改善", MIRU 2024 Oral
誤りのある順序付きラベルでの自己緩和型共同学習による重症度推定
Published in MIRU 2024 Oral
Citation: 竹崎 隼平,田中聖人,内田誠一, "誤りのある順序付きラベルでの自己緩和型共同学習による重症度推定", MIRU 2024 Oral
カラーパレットによる着色指示が可能な拡散モデルによる画像生成
Published in IEICE Kyushu 2024
Citation: 永留和真,内田誠一, 竹崎 隼平, "カラーパレットによる着色指示が可能な拡散モデルによる画像生成", IEICE Kyushu 2024
ノイズキャンセル機能を有した拡散モデル
Published in IEICE Kyushu 2024
Citation: 松崎悠汰,内田誠一, 竹崎 隼平, "ノイズキャンセル機能を有した拡散モデル", IEICE Kyushu 2024
拡散モデルを利用した分布外検出
Published in IEICE Kyushu 2024
Citation: 石丸大晟, 竹崎 隼平,備瀬竜馬, "拡散モデルを利用した分布外検出", IEICE Kyushu 2024
拡散モデルによるScene text removal
Published in IEICE Kyushu 2024
Citation: 吉松 拓海,内田 誠一, 竹崎 隼平, "拡散モデルによるScene text removal", IEICE Kyushu 2024
Guidance-base Diffusion Models for Improving Photoacoustic Image Quality
Published in BMVC 2024 [Paper]
Citation: Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, Ryoma Bise, "Guidance-base Diffusion Models for Improving Photoacoustic Image Quality", BMVC 2024
重症度を持つ医用画像に対する機械学習
Published in 定量生物学の会 2025
Citation: 竹崎 隼平, "重症度を持つ医用画像に対する機械学習", 定量生物学の会 2025
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
Published in WACV 2025 (Oral) [Paper] [Code]
Citation: Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida, "Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels", WACV 2025 (Oral)
Inverse Scene Text Removal
Published in ICDAR 2025 [Paper] [Code]
Citation: Takumi Yoshimatsu, Shumpei Takezaki, Seiichi Uchida, "Inverse Scene Text Removal", ICDAR 2025
Few-Part-Shot Font Generation
Published in ICDAR 2025 Workshop (Best Paper Award)
Citation: Masaki Akiba, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida, "Few-Part-Shot Font Generation", ICDAR 2025 Workshop (Best Paper Award)
拡散モデルによる画像とクラスの共起生成
Published in MIRU 2025
Citation: 江口達大, 竹崎 隼平,備瀬竜馬, "拡散モデルによる画像とクラスの共起生成", MIRU 2025
ノイジーな画像で学習した拡散モデルによる画像生成
Published in MIRU 2025
Citation: 松崎悠汰,内田誠一, 竹崎 隼平, "ノイジーな画像で学習した拡散モデルによる画像生成", MIRU 2025
条件付き拡散モデルの不確実性分析
Published in MIRU 2025
Citation: 石丸 大晟, 竹崎 隼平,豊田祥史,備瀬 竜馬, "条件付き拡散モデルの不確実性分析", MIRU 2025
Rectified Flowによる手書き活字変換
Published in MIRU 2025
Citation: 下津曲将, 竹崎 隼平,内田誠一, "Rectified Flowによる手書き活字変換", MIRU 2025
Detecting Scene Text Removal
Published in MIRU 2025
Citation: Takumi Yoshimatsu, Shumpei Takezaki, Seiichi Uchida, "Detecting Scene Text Removal", MIRU 2025
Few-Part-Shot Font Generationの提案
Published in MIRU 2025
Citation: Masaki Akiba, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida, "Few-Part-Shot Font Generationの提案", MIRU 2025
誤りのある順序付きラベルに対する順序付き Negative Label Learning
Published in MIRU 2025
Citation: 竹崎 隼平 ,志久開人,原田翔太,内田誠一, "誤りのある順序付きラベルに対する順序付き Negative Label Learning", MIRU 2025
拡散モデルにおける推定ノイズのCutMixによるデータ拡張
Published in MIRU 2025
Citation: 竹崎 隼平 ,備瀬竜馬,松尾信之介, "拡散モデルにおける推定ノイズのCutMixによるデータ拡張", MIRU 2025
拡散モデルを用いた細胞検出
Published in MIRU 2025
Citation: 田原聖士, 竹崎 隼平 ,備瀬竜馬, "拡散モデルを用いた細胞検出", MIRU 2025
NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
Published in ICCV 2025 Workshop [Paper] [Code]
Citation: Shumpei Takezaki, Ryoma Bise, Shinnosuke Matsuo, "NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models", ICCV 2025 Workshop
順序クラス分類におけるデータ拡張
Published in IEICE Kyushu 2025
Citation: 相澤卓輝, 竹崎 隼平,備瀬竜馬,原田翔太, "順序クラス分類におけるデータ拡張", IEICE Kyushu 2025
画像生成を用いた分類器学習
Published in IEICE Kyushu 2025
Citation: 河野隼人, 竹崎 隼平,内田誠一,松尾信之介, "画像生成を用いた分類器学習", IEICE Kyushu 2025
生成と探索に基づくフォント選好
Published in IEICE Kyushu 2025
Citation: 宋 容輝,秋庭 正樹,内田誠一, 竹崎 隼平, "生成と探索に基づくフォント選好", IEICE Kyushu 2025
拡散モデルに基づく画像とクラスラベルの共起生成
Published in IEICE Kyushu 2025
Citation: 呉哲,江口達大, 竹崎 隼平,備瀬竜馬, "拡散モデルに基づく画像とクラスラベルの共起生成", IEICE Kyushu 2025
生成モデルによるCT画像からの血管抽出
Published in IEICE Kyushu 2025
Citation: 見田壮一, 竹崎 隼平,備瀬竜馬, "生成モデルによるCT画像からの血管抽出", IEICE Kyushu 2025
学習済み拡散モデル利用時の色調制御の試み
Published in PRMU 2026 January
Citation: 永留和真,内田誠一, 竹崎 隼平,, "学習済み拡散モデル利用時の色調制御の試み", PRMU 2026 January
拡散モデルによる3次元CT画像からの血管中心線推定
Published in PRMU 2026 January
Citation: 見田壮一, 竹崎 隼平,備瀬竜馬, "拡散モデルによる3次元CT画像からの血管中心線推定", PRMU 2026 January
Schrödinger Bridgeによる細胞セグメンテーション
Published in PRMU 2026 January
Citation: 井上颯人, 竹崎 隼平,原田翔太,備瀬竜馬, "Schrödinger Bridgeによる細胞セグメンテーション", PRMU 2026 January
Bridging the Density Gap: Diffusion Model for Stepwise Generation of Dense Cell Images from Sparse Data
Published in ISBI 2026 (Best Paper Award-Runner Up)
Citation: Masashi Tahara, Kazuya Nishimura, Shumpei Takezaki, Ryoma Bise, "Bridging the Density Gap: Diffusion Model for Stepwise Generation of Dense Cell Images from Sparse Data", ISBI 2026 (Best Paper Award-Runner Up)
VesselFusion: Diffusion Models for Vessel centerline extraction from 3D CT Images
Published in ISBI 2026 [Paper]
Citation: Souichi Mita, Shumpei Takezaki, Ryoma Bise, "VesselFusion: Diffusion Models for Vessel centerline extraction from 3D CT Images", ISBI 2026
SCoRe: Clean Image Generation from Diffusion Models Trained on Noisy Images
Published in IJCNN 2026 [Paper]
Citation: Yuta Matsuzaki, Seiichi Uchida, Shumpei Takezaki, "SCoRe: Clean Image Generation from Diffusion Models Trained on Noisy Images", IJCNN 2026
Cell Instance Segmentation via Multi-Task Image-to-Image Schrödinger Bridge
Published in IJCNN 2026 [Paper]
Citation: Hayato Inoue, Shota Harada, Shumpei Takezaki, Ryoma Bise, "Cell Instance Segmentation via Multi-Task Image-to-Image Schrödinger Bridge", IJCNN 2026
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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