Kızılötesi spektroskopisi kullanılarak kan örneklerinden kolon kanserine yönelik özellik çıkarımı (Feature extraction using infrared spectroscopy from blood samples related to colon cancer) - Suat Toraman (2016)

Classification of the likelihood of colon cancer with machine learning techniquesusing FTIR signals obtained from plasma. - Suat Toraman; Mustafa Girgin; Bilal Üstündag; Ibrahim Türkoglu (Turkish J. Electr. Eng. Comput. Sci., 2019)

A novel genome analysis method with the entropy-based numerical technique using pretrained convolutional neural networks. - Bihter Das; Suat Toraman; Ibrahim Türkoglu (Turkish J. Electr. Eng. Comput. Sci., 2020)

Preictal and Interictal Recognition for Epileptic Seizure Prediction Using Pre-trained 2D-CNN Models. - Suat Toraman (Traitement du Signal, 2020)

Automatic recognition of preictal and interictal EEG signals using 1D-capsule networks. - Suat Toraman (Comput. Electr. Eng., 2021)

GameEmo-CapsNet: Emotion Recognition from Single-Channel EEG Signals Using the 1D Capsule Networks. - Suat Toraman; Ömer Osman Dursun (Traitement du Signal, 2021)

Deep transfer learning for automated liver cancer gene recognition using spectrogram images of digitized DNA sequences. - Bihter Das; Suat Toraman (Biomed. Signal Process. Control., 2022)

Detection and classification of foreign object debris (FOD) with comparative deep learning algorithms in airport runways. - Necip Sahamettin Kucuk; Hakan Aygun; Ömer Osman Dursun; Suat Toraman (Signal Image Video Process., 2025)