Author

Lishan Cai

Observed name: Cai, Lishan

Institutions: Maastricht University Medical Centre, The Netherlands Cancer Institute, Maastricht University, Amsterdam University Medical Centers, Southern Medical University, University of Amsterdam

Observed institutions: Maastricht University Medical Centre, The Netherlands Cancer Institute, Maastricht University, Amsterdam University Medical Centers, Southern Medical University, University of Amsterdam

ORCID: 0000-0002-3282-291X

Observed ORCID: 0000-0002-3282-291X

OpenAlex ID: A5001225983

An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study

2024 · Lishan Cai, Doenja M. J. Lambregts, et al. · npj Precision Oncology · 24

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Semi-supervised learning in prostate MRI tumor detection approaches fully supervised performance on external validation

2026 · Eduardo H. P. Pooch, Georgios Agrotis, et al. · European Radiology · 4

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DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

2025 · Xinglong Liang, Jiaju Huang, et al. · Lecture notes in computer science · 2

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Semi-Supervised Learning in Prostate MRI Tumor Segmentation Approaches Fully-Supervised Performance on External Validation

2025 · Eduardo H.P. Pooch, Georgios Agrotis, et al. · medRxiv · 2

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Associations of ultra-processed food intake with bone mineral density and fractures in the UK Biobank

2026 · Huaying Hu, Huan Huang, et al. · British Journal Of Nutrition · 1

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Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter study

2026 · Lishan Cai, Mohamed A. Abdelatty, et al. · Scientific Reports · 1

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Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation

2025 · Alessia Hu, Regina Beets-Tan, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 1

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Author Correction: An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study

2025 · Lishan Cai, Doenja M. J. Lambregts, et al. · npj Precision Oncology · 1

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Beyond the Batch: Momentum-Updated Virtual Cohorts for 3D PET-CT Prognosis

2026 · Xinglong Liang, Tianyu Zhang, et al. · Lecture notes in computer science

Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET V

2026 · Liang, Xinglong, Lu, Chunyao, et al. · arXiv (Cornell University)

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HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT

2026 · Saeed, Numan, Hassan, Salma, et al. · arXiv (Cornell University)

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GraphMorph centerline dice loss for small bowel volume segmentation in 3D cine-MRI

2026 · Lishan Cai, Zdenko van Kesteren, et al. · Biomedical Signal Processing and Control

Predicting Rectal Cancer Patient Survival with Dutch Radiology Reports using Natural Language Processing (NLP): The Role of Pretrained Language Models

2026 · Lishan Cai, Tianyu Zhang, et al. · medRxiv

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Less is More: Efficient PET/CT Segmentation and Multimodal Prediction of Recurrence-Free Survival and HPV Status in Head and Neck Cancer

2026 · Lishan Cai, XingLong Liang, et al. · Lecture notes in computer science

GraphMorph Centerline Dice Loss for Small Bowel Volume Segmentation in 3D cine-MRI

2025 · Yunchao Yin, Zdenko van Kesteren, et al. · SSRN Electronic Journal

Works count: 15

Citation count: 36

H-index: 2

I10-index: 1