From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities

23 August 2018

Parnian Afshar

Arash Mohammadi

Konstantinos N. Plataniotis

Papers citing "From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities"

23 / 23 papers shown

Title
An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation Rihui Zhang Haiming Zhu Jingtong Zhao Lei Zhang F. Yin Chunhao Wang Zhenyu Yang 37 0 0 31 Mar 2025
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction Sadaf Khademi Mehran Shabanpour Reza Taleei A. Oikonomou Arash Mohammadi MedIm 70 0 0 26 Mar 2025
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction Sadaf Khademi A. Oikonomou Konstantinos N. Plataniotis Arash Mohammadi MedIm 21 0 0 15 Feb 2024
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer Rebeca Vétil Clément Abi-Nader Alexandre Bône M. Vullierme Marc-Michel Rohé Pietro Gori Isabelle Bloch MedIm 14 1 0 22 Aug 2023
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer Mingyuan Meng Lei Bi M. Fulham Da-wei Feng Jinman Kim ViT MedIm 27 8 0 07 Jul 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data Zhiyuan Li Hailong Li Anca L. Ralescu Jonathan R. Dillman N. Parikh Lili He 35 7 0 20 Feb 2023
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling Jianan Chen Anne L. Martel 30 2 0 09 Mar 2022
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention Emmanuelle Bourigault Daniel R. McGowan A. Mehranian Bartlomiej W. Papie.z 46 22 0 06 Nov 2021
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics F. Yousefirizi P. Decazes Amine Amyar S. Ruan Babak Saboury Arman Rahmim LM&MA MedIm 34 43 0 20 Oct 2021
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT Mingyuan Meng B. Gu Lei Bi Shaoli Song D. Feng Jinman Kim MedIm 19 38 0 16 Sep 2021
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics Junhua Chen H. Zeng Chong Zhang Zhenwei Shi Andre Dekker L. Wee Inigo Bermejo 21 25 0 29 Apr 2021
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning Yige Peng Lei Bi Ashnil Kumar M. Fulham D. Feng Jinman Kim 11 3 0 23 Apr 2021
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics B. Gu Mingyuan Meng Lei Bi Jinman Kim D. Feng Shaoli Song MedIm AI4CE 16 18 0 09 Mar 2021
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective Shen Chen Mingwei Zhang Jiamin Cui Wei Yao CVBM 22 0 0 31 Dec 2020
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications Arash Mohammadi Yingxu Wang Nastaran Enshaei Parnian Afshar F. Naderkhani A. Oikonomou M. Rafiee H. C. R. Oliveira Svetlana Yanushkevich Konstantinos N. Plataniotis LM&MA 30 5 0 28 Dec 2020
AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases Jianan Chen H. Cheung L. Milot Anne L. Martel 11 13 0 12 Dec 2020
Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets Hamza Osman Ilhan Gorkem Serbes N. Aydin 25 27 0 17 Nov 2020
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction Parnian Afshar F. Naderkhani A. Oikonomou M. Rafiee Arash Mohammadi Konstantinos N. Plataniotis MedIm 11 41 0 13 Aug 2020
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images Parnian Afshar Shahin Heidarian F. Naderkhani A. Oikonomou Konstantinos N. Plataniotis Arash Mohammadi MedIm 11 595 0 06 Apr 2020
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer Jie Fu Xinran Zhong Ning Li R. van Dams J. Lewis Kyunghyun Sung A. Raldow J. Jin S. Qi 14 44 0 09 Sep 2019
Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Li-Wen Wang Lihui Wang Qijian Chen Caixia Sun Xinyu Cheng Yuemin M. Zhu MedIm 13 2 0 23 May 2019
A weighted random survival forest Lev V. Utkin A. Konstantinov V. Chukanov M. V. Kots M. Ryabinin A. Meldo 13 40 0 01 Jan 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 307 10,621 0 19 Feb 2017