Development of a New Algorithm for Detection of Mammographic Masses. - Tomoko Matsubara; Hiroshi Fujita 001; Takeshi Hara; Satoshi Kasai; Osamu Otsuka; Yuji Hatanaka; Tokiko Endo (Digital Mammography / IWDM, 1998)

An automated detection method of mammographic masses existing around thick-mammary-gland and near chest-wall regions. - Yuji Hatanaka; Takeshi Hara; Hiroshi Fujita 001; Satoshi Kasai; Tokiko Endo; Takuji Iwase (CARS, 2001)

Development of an Automated Method for Detection Mammographic Masses with a Partial Loss of Region. - Yuji Hatanaka; Takeshi Hara; Hiroshi Fujita 001; Satoshi Kasai; Tokiko Endo; Takuji Iwase (IEEE Trans. Medical Imaging, 2001)

Automated detection methods for architectural distortions around skinline and within mammary gland on mammograms. - Tomoko Matsubara; Tetsuko Ichikawa; Takeshi Hara; Hiroshi Fujita 001; Satoshi Kasai; Tokiko Endo; Takuji Iwase (CARS, 2003)

Novel method for detecting mammographic architectural distortion based on concentration of mammary gland. - Tomoko Matsubara; Tetsuko Ichikawa; Takeshi Hara; Hiroshi Fujita 001; Satoshi Kasai; Tokiko Endo; Takuji Iwase (CARS, 2004)

Development of computerized method for detection of vertebral fractures on lateral chest radiographs. - Satoshi Kasai; Feng Li 018; Junji Shiraishi; Qiang Li 018; Yongkang Nie; Kunio Doi (Image Processing, 2006)

Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data. - Satoshi Kasai; Feng Li 018; Junji Shiraishi; Qiang Li 018; Christopher Straus; Tamara Vokes; Heber MacMahon; Kunio Doi (Computer-Aided Diagnosis, 2007)

Computerized Scheme for Focal Asymmetric Densities on Mammograms by Use of Geometric and Texture Analyses. - Shinsuke Katsuhara; Hitoshi Futamura; Satoshi Kasai; Takako Morita; Tokiko Endo (Digital Mammography / IWDM, 2008)

EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders - chronic kidney disease example. - Xiaojun Ma; Takeshi Imai; Emiko Y. Shinohara; Satoshi Kasai; Kosuke Kato; Rina Kagawa; Kazuhiko Ohe (J. Biomed. Informatics, 2021)

Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization. - Satoshi Kondo; Satoshi Kasai; Kousuke Hirasawa (MIDOG/DRAC@MICCAI, 2022)

Nuclei panoptic segmentation and composition regression with multi-task deep neural networks. - Satoshi Kondo; Satoshi Kasai (CoRR, 2022)

Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography. - Satoshi Kondo; Satoshi Kasai; Kosuke Hirasawa (CoRR, 2022)

Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model. - Satoshi Kondo; Satoshi Kasai (CoRR, 2022)

A Two Step Approach for Whole Slide Image Registration. - Satoshi Kondo; Satoshi Kasai; Kousuke Hirasawa (CoRR, 2022)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. - Aneeq Zia; Kiran Bhattacharyya; Xi Liu; Max Berniker; Ziheng Wang 003; Rogerio Nespolo; Satoshi Kondo; Satoshi Kasai; Kousuke Hirasawa; Bo Liu; David Austin; Yiheng Wang; et al. (CoRR, 2023)

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. - Chinedu Innocent Nwoye; Tong Yu 009; Saurav Sharma; Aditya Murali; Deepak Alapatt; Armine Vardazaryan; Kun Yuan 004; Jonas Hajek; Wolfgang Reiter; Amine Yamlahi; Finn-Henri Smidt; Xiaoyang Zou; et al. (Medical Image Anal., 2023)

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. - Dimitrios Psychogyios; Emanuele Colleoni; Beatrice van Amsterdam; Chih-Yang Li; Shu-Yu Huang; Yuchong Li; Fucang Jia; Baosheng Zou; Guotai Wang; Yang Liu 271; Maxence Boels; Jiayu Huo; et al. (CoRR, 2024)

LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification. - Reuben Dorent; Roya Khajavi; Tagwa Idris; Erik Ziegler; Bhanusupriya Somarouthu; Heather Jacene; Ann S. LaCasce; Jonathan Deissler; Jan Ehrhardt; Sofija Engelson; Stefan M. Fischer; Yun Gu; et al. (CoRR, 2024)

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. - Adrito Das; Danyal Z. Khan; Dimitrios Psychogyios; Yitong Zhang; John G. Hanrahan; Francisco Vasconcelos 001; You Pang; Zhen Chen 018; Jinlin Wu; Xiaoyang Zou; Guoyan Zheng; Abdul Qayyum; et al. (CoRR, 2024)

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. - Marc Aubreville; Nikolas Stathonikos; Taryn A. Donovan; Robert Klopfleisch; Jonas Ammeling; Jonathan Ganz; Frauke Wilm; Mitko Veta; Samir Jabari; Markus Eckstein; Jonas Annuscheit; Christian Krumnow; et al. (Medical Image Anal., 2024)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. - Philippe Weitz; Masi Valkonen; Leslie Solorzano; Circe Carr; Kimmo Kartasalo; Constance Boissin; Sonja Koivukoski; Aino Kuusela; Dusan Rasic; Yanbo Feng; Sandra Kristiane Sinius Pouplier; Abhinav Sharma; et al. (Medical Image Anal., 2024)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 2024)

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery. - Adrito Das; Danyal Z. Khan; Dimitrios Psychogyios; Yitong Zhang; John G. Hanrahan; Francisco Vasconcelos 001; You Pang; Zhen Chen 018; Jinlin Wu; Xiaoyang Zou; Guoyan Zheng; Abdul Qayyum; et al. (Medical Image Anal., 2025)

ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries. - M. Sofia Sappia; Chris L. de Korte; Bram van Ginneken; Dean Ninalga; Satoshi Kondo; Satoshi Kasai; Kousuke Hirasawa; Tanya Akumu; Carlos Martín-Isla; Karim Lekadir; Víctor M. Campello; Jorge Fabila; et al. (Medical Image Anal., 2025)

Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023. - Myrthe A. D. Buser; D. C. Simons; M. Fitski; Marc H. W. A. Wijnen; A. S. Littooij; A. H. ter Brugge; Iris N. Vos; Markus H. A. Janse; M. den Boer; R. ter Maat; Junya Sato; S. Kido; et al. (CoRR, 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. - Tobias Rueckert; David Rauber; Raphaela Maerkl; Leonard Klausmann; Suemeyye R. Yildiran; Max Gutbrod; Danilo Weber Nunes; Alvaro Fernandez Moreno; Imanol Luengo; Danail Stoyanov; Nicolas Toussaint; Enki Cho; et al. (CoRR, 2025)