Research map: GRACE-ViT: Grouped Recalibration With Adaptive Contextual Emphasis for Breast Cancer Neoadjuvant Chemotherapy Response Prediction

Back to the article

Papers in this map

  1. Deep Residual Learning for Image Recognition · Kaiming He · 2016 · 229835 citations · Cited by this paper
  2. EML4-ALK in Non-small Cell Lung Cancer: Molecular Mechanisms and Targeted Therapies · 2026 · Related
  3. A ConvNet for the 2020s · Zhuang Liu · 2022 · 8116 citations · Cited by this paper
  4. Focusing on the Advances and Challenges of HER2-Targeted Therapy: Cutting-Edge Breakthroughs in Neoadjuvant Treatment for HER2-Positive Breast Cancer · 2026 · Related
  5. Deep High-Resolution Representation Learning for Human Pose Estimation · Ke Sun · 2019 · 5849 citations · Cited by this paper
  6. Dosimetric Performance Analysis of Pediatric Based Halcyon™ Volumetric Arc Therapy-Based Lung-Sparing Total Body Irradiation · 2026 · Related
  7. Breast Cancer Treatment · Adrienne Gropper Waks · 2019 · 5019 citations · Cited by this paper
  8. An Investigation into Planned Dose Preservation of Biology-guided Radiotherapy Under Various Radiopharmaceutical Uptake Conditions · 2026 · Related
  9. CSPNet: A New Backbone that can Enhance Learning Capability of CNN · Chien-Yao Wang · 2020 · 4858 citations · Cited by this paper
  10. The Role of High-Intensity Focused Ultrasound as a Local Consolidative Therapy in Multimodal Conversion Treatment for Colorectal Liver Metastases: A Case Series · 2026 · Related
  11. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods · Professor Gary S. Collins · 2024 · 3668 citations · Cited by this paper
  12. Metabolomic Characteristics of Patients With Non-Small Cell Lung Cancer in Plasma, Tissue and Exhaled Breath Condensate: A Case-Control Study · 2026 · Related
  13. Cancer statistics, 2025 · Rebecca L. Siegel · 2025 · 2992 citations · Cited by this paper
  14. Role of Bioinformatics in Identifying Novel Biomarkers for Immune Cell Exhaustion and Tumor Microenvironment · 2026 · Related
  15. Pathologic Complete Response after Neoadjuvant Chemotherapy and Impact on Breast Cancer Recurrence and Survival: A Comprehensive Meta-analysis · Laura M. Spring · 2020 · 980 citations · Cited by this paper
  16. Effect of Multi-Leaf Collimator Angle Optimization on the Planning Parameters in Intensity-Modulated Radiotherapy for Thoracic Tumors · 2026 · Related
  17. ConViT: improving vision transformers with soft convolutional inductive biases* · Stéphane d’Ascoli · 2022 · 745 citations · Cited by this paper
  18. A Comprehensive Dosimetric and Plan Quality Evaluation of Non-coplanar VMAT With Flattening Filter-free Versus Flattened Beams for Hippocampal-Avoidance Whole-Brain Radiotherapy: A Multi-Platform Study on Elekta Infinity and UIH uRT-Linac Systems · 2026 · Related
  19. MedViT: A robust vision transformer for generalized medical image classification · Omid Nejati Manzari · 2023 · 514 citations · Cited by this paper
  20. Proteomics in Acute Myeloid Leukemia: Current Applications in Precision Medicine and Targeted Immunotherapy · 2026 · Related
  21. HiFuse: Hierarchical multi-scale feature fusion network for medical image classification · Xiangzuo Huo · 2023 · 403 citations · Cited by this paper
  22. Breast cancer detection using artificial intelligence techniques: A systematic literature review · Ali Bou Nassif · 2022 · 336 citations · Cited by this paper
  23. Machine learning in computational histopathology: Challenges and opportunities · Michael C. Cooper · 2023 · 75 citations · Cited by this paper
  24. Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data · Hongyi Duanmu · 2020 · 60 citations · Cited by this paper
  25. DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs · Donghyun Kim · 2024 · 48 citations · Cited by this paper
  26. Multi-center evaluation of artificial intelligent imaging and clinical models for predicting neoadjuvant chemotherapy response in breast cancer · Tan Hong Qi · 2022 · 39 citations · Cited by this paper
  27. Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning · Hadi Moghadas-Dastjerdi · 2021 · 30 citations · Cited by this paper
  28. Machine Learning Models and Multiparametric Magnetic Resonance Imaging for the Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer · Carmen Herrero Vicent · 2022 · 25 citations · Cited by this paper
  29. Prediction of early clinical response to neoadjuvant chemotherapy in Triple-negative breast cancer: Incorporating Radiomics through breast MRI · Hyo‐jae Lee · 2024 · 19 citations · Cited by this paper
  30. Breast cancer classification based on microcalcifications using dual branch vision transformer fusion · Saravanan Elumalai · 2025 · 19 citations · Cited by this paper
  31. Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT · Gülcan Bulut · 2023 · 17 citations · Cited by this paper
  32. Machine Learning Predicts Pathologic Complete Response to Neoadjuvant Chemotherapy for ER+HER2- Breast Cancer: Integrating Tumoral and Peritumoral MRI Radiomic Features · Jiwoo Park · 2023 · 15 citations · Cited by this paper
  33. Cross vision transformer with enhanced Growth Optimizer for breast cancer detection in IoMT environment · Mohamed Abd Elaziz · 2024 · 13 citations · Cited by this paper
  34. Early and noninvasive prediction of response to neoadjuvant therapy for breast cancer via longitudinal ultrasound and MR deep learning: A multicentre study · Qiao Zeng · 2024 · 10 citations · Cited by this paper
  35. Machine learning for predicting breast-conserving surgery candidates after neoadjuvant chemotherapy based on DCE-MRI · Zhigeng Chen · 2023 · 8 citations · Cited by this paper
  36. Graph-Based Sparse Diagnostic Path Routing for Breast Cancer Detection Using Histopathological · Saravanan Elumalai · 2026 · 4 citations · Cited by this paper
  37. MBLC-Net: A Multiview Breast Lesion Characterization Network with Cross-View Feature Fusion and Region-Attentive Segmentation · Saravanan Elumalai · 2025 · 2 citations · Cited by this paper
  38. Fusion-CNN for Breast Microcalcification Detection and Classification from Dual-View Mammograms · Saravanan Elumalai · 2025 · 2 citations · Cited by this paper
  39. Untitled · Cited by this paper

Source: OpenAlex (CC0)