Yide T. Ma - Publications

Brain-inspired reservoir computing framework for complex time-series prediction.

Journal: iScience

Published: February 06, 2026

Exploration progress in 5G remote robotic-assisted gastrointestinal surgery

Journal: Zhonghua wai ke za zhi [Chinese journal of surgery]

Published: April 21, 2025

FET-UNet: Merging CNN and transformer architectures for superior breast ultrasound image segmentation.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Published: July 23, 2024

Ultrasound-based deep learning radiomics for multi-stage assisted diagnosis in reducing unnecessary biopsies of BI-RADS 4A lesions.

Journal: Quantitative imaging in medicine and surgery

Published: March 21, 2024

Deep learning-based and BI-RADS guided radiomics model for automatic tumor-infiltrating lymphocytes evaluation in breast cancer.

Journal: The British journal of radiology

Published: March 05, 2024

MFMSNet: A Multi-frequency and Multi-scale Interactive CNN-Transformer Hybrid Network for breast ultrasound image segmentation.

Journal: Computers in biology and medicine

Published: July 26, 2023

Evaluation of Breast Cancer Tumor-Infiltrating Lymphocytes on Ultrasound Images Based on a Novel Multi-Cascade Residual U-Shaped Network.

Journal: Ultrasound in medicine & biology

Published: April 04, 2023

Deep Learning with Transformer or Convolutional Neural Network in the Assessment of Tumor-Infiltrating Lymphocytes (TILs) in Breast Cancer Based on US Images: A Dual-Center Retrospective Study.

Journal: Cancers

Published: December 04, 2022

ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation.

Journal: Computers in biology and medicine

Published: June 14, 2022

Correction to: Learning multi‑frequency features in convolutional network for mammography classification.

Journal: Medical & biological engineering & computing

Published: May 23, 2022

FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening.

Journal: Computers in biology and medicine

Published: May 10, 2021

Learning multi-frequency features in convolutional network for mammography classification.

Journal: Medical & biological engineering & computing

Published: May 04, 2021