By Dr Hamid Alinejad-Rokny

Book Chapters

Shoeibi A; Jafari M; Sadeghi D; Alizadehsani R; Alinejad-Rokny H; Beheshti A; Gorriz JM, 2024, 'Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model', in , pp. 139 - 149, http://dx.doi.org/10.1007/978-3-031-61140-7_14

Roshanzamir M; Alizadehsani R; Moravvej SV; Joloudari JH; Alinejad-Rokny H; Gorriz JM, 2024, 'Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications', in , pp. 98 - 107, http://dx.doi.org/10.1007/978-3-031-61140-7_10

Beheshti A; Alinejad-Rokny H; Suero Molina E; Di Ieva A, 2024, 'Understanding Big Data in Neurosurgery', in Advances in Experimental Medicine and Biology, pp. 157 - 175, http://dx.doi.org/10.1007/978-3-031-64892-2_10

Shabani N; Beheshti A; Farhood H; Bower M; Garrett M; Rokny HA, 2022, 'iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data', in , pp. 352 - 356, http://dx.doi.org/10.1007/978-3-031-11647-6_68

Wang S; Beheshti A; Wang Y; Lu J; Sheng QZ; Elbourn S; Alinejad-Rokny H; Galanis E, 2021, 'Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload', in Artificial Intelligence in Education, pp. 384 - 389, http://dx.doi.org/10.1007/978-3-030-78270-2_68

Vafaee F; Dashti H; Alinejad-Rokny H, 2019, 'Transcriptomic Data Normalization', in Encyclopedia of Bioinformatics and Computational Biology Abc of Bioinformatics, pp. 364 - 371, http://dx.doi.org/10.1016/B978-0-12-809633-8.20209-4

Journal articles

Foroutannia A; Shoeibi A; Beheshti A; Alinejad-Rokny H; Ling SH; Lam HK, 2026, 'Advancing autonomous driving systems: A 3-dimensional U-Net framework for object detection via fusion of camera and LiDAR sensors', Information Sciences, 741, http://dx.doi.org/10.1016/j.ins.2026.123215

Sirota SB; Bender RG; Dominguez RMV; Movo A; Swetschinski LR; Araki DT; Han C; Wool EE; He J; Carter A; AJ Jabbar A; Aalipour MA; Aalruz H; Abbasi Dolatabadi Z; Abbastabar H; Abd ElHafeez S; Abdalla AN; Abdalla MA; Abdullah ; Abdallah EM; Abdel Razeq NMI; Abdelkader A; Abd-Elsalam S; Abdelwahab SI; Abdoun M; Abdous A; Abdrabou MM; Abdul Aziz JM; Abdulah DM; Abdullahi A; Abdul-Rahman T; Abdykerimova K; Abebe Getahun H; Abedi A; Abejew AA; Abidi SH; Abil OZ; Abiodun O; Aboagye RG; Abolhassani H; Abonie US; Aborode AT; Abourashed NM; Abtahi D; Abu Z; Abu Farha RK; Abuadas FHA; Abubakar AK; Abubakar U; Abu-Elala N; Abu-Gharbieh E; Abuhelwa AY; Abukhadijah HJ; Abushanab D; Acharya AB; Acharya KP; Acharya S; Achore M; Adal O; Adams LC; Addo IY; Adebisi TA; Adedia D; Adedokun KA; Adegoke NA; Adekanmbi V; Adeleke OT; Adesina MA; Adesola RO; Adetunji CO; Adetunji JB; Adewumi IP; Adhana MT; Adhikary RK; Adiba A; Adiga U; Adnan M; Adnani QES; Affinito G; Afzal S; Agafari GB; Aggarwal N; Agordoh PD; Agrawal A; Agyemang-Duah W; Ahadi M; Ahinkorah BO; Ahmad AA; Ahmad A; Ahmad D; Ahmad F; Ahmad I; Ahmad K; Ahmad MM; Ahmad R; Ahmad S; Ahmad T; Ahmadi A; Ahmadi M; Ahmed A; Lin J; Alinejad-Rokny H; Okeke S; Bhaskar S; Joseph A; Perez Chacon G, 2026, 'Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023', Lancet Infectious Diseases, 26, pp. 343 - 361, http://dx.doi.org/10.1016/S1473-3099(25)00689-9

Intarak N; Ghasemnejad T; Fakhruddin KS; Kamal A; Prommanee S; Jahanian KH; Lovell NH; Alinejad-Rokny H; Porntaveetus T, 2026, 'LRP6 β-Propeller Destabilization: Novel Variant, Phenotype and Diagnostic Implications in Tooth Agenesis', International Dental Journal, 76, http://dx.doi.org/10.1016/j.identj.2025.109367

Li W; Zhang D; Peng E; Shen S; Alinejad-Rokny H; Liu Y; Zheng J; Jiang C; Ye Y, 2026, 'HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning', Advanced Science, 13, http://dx.doi.org/10.1002/advs.202514351

Green NFO; Sutton GJ; Pérez-Burillo J; Wang J; Bagot S; Danon HG; Walsh K; Gokool A; Miles SA; Yang G; Herring CA; Liang Y; Pfundstein G; Sytnyk V; Alinejad-Rokny H; Lister R; Rosenbluh J; Gagnon-Bartsch JA; Voineagu I, 2026, 'CRISPRi screening in cultured human astrocytes uncovers distal enhancers controlling genes dysregulated in Alzheimer’s disease', Nature Neuroscience, 29, pp. 703 - 716, http://dx.doi.org/10.1038/s41593-025-02154-3

Guo ZZ; Wu R; Li W; Yang K; Ying X; Alinejad-Rokny H; Ye Y, 2026, 'Mapping biology in space: from spatial transcriptomics platforms to analytical tools and databases', Science Bulletin, 71, pp. 921 - 945, http://dx.doi.org/10.1016/j.scib.2026.01.034

Bakhshayeshi I; Hosseini MM; Argha A; Zahedi R; Lovell NH; Alinejad-Rokny H, 2026, 'CLinNET: An Interpretable and Uncertainty-Aware Deep Learning Framework for Multi-Modal Clinical Genomics', Advanced Science, 13, http://dx.doi.org/10.1002/advs.202512842

Ghasemnejad T; Liang Y; Jahanian KH; Eidi M; Salmaninejad A; Abedini SS; Horta F; Lovell NH; Porntaveetus T; Grosser M; Aarabi M; Alinejad-Rokny H, 2026, 'Comprehensive evaluation of ACMG/AMP-based variant classification tools', Bioinformatics, 42, http://dx.doi.org/10.1093/bioinformatics/btaf623

Flor LS; Spencer CN; Cagney J; Gil GF; Aalruz H; Abd ElHafeez S; Abdelwahab SI; Abdoun M; Abebe M; Abebe Y; Abedi A; Abeldaño Zuñiga RA; Abie A; Abiodun O; Aboagye RG; Abreu LG; Abu Farha RK; Abubakar B; Abuhammad S; Achore M; Adams LC; Adebiyi BO; Adedokun KA; Adegbile OE; Adegoke NA; Adeleke OT; Adeniyi MA; Adesina MA; Adewuyi HO; Adnani QES; Adzigbli LA; Afolabi AA; Afolabi RF; Afzal MS; Afzal S; Agyemang-Duah W; Ahinkorah BO; Ahmad A; Ahmad D; Ahmad MM; Ahmed A; Ahmed A; Ahmed H; Ahmed MS; Ahmed O; Akin-Odanye EO; Akosile W; Akpabio IU; Alam Z; Al-Amer RM; Alansari AN; Alanzi TM; Aleidi SM; Alemu MB; Alhalaiqa FN; Al-Iede M; Alinejad Rokny H; Almagharbeh WT; Al-Mamun M; Almazan JU; Alnaeem MM; Alrimawi I; Alshahrani NZ; Alyahya MSI; Amin TT; Amini S; Amiri S; Amu H; Amzat J; Anderson DB; Anuoluwa BS; Anvari S; Anyasodor AE; Aravkin AY; Arias de la Torre J; Armocida B; Arrieta A; Arumuganainar D; Ashraf T; Aslam B; Asri Y; Athari SS; Atorkey P; Atre SR; Atsbaha AH; Atta JA; Atteraya MS; Azzam AY; Sheeba B; Baghlaf KK; Baig AA; Balcha WF; Balmori-de-la-Miyar J; Bandyopadhyay S; Barik M; Barker-Collo SL; Bashar MA; Bashir S; Bashiri A; Bastan MM, 2026, 'Disease burden attributable to intimate partner violence against females and sexual violence against children in 204 countries and territories, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023', Lancet, 407, pp. 31 - 52, http://dx.doi.org/10.1016/S0140-6736(25)02503-6

Li S; Fan L; Lin Y; Li Z; Wei X; Ni S; Alinejad-Rokny H; Yang M, 2026, 'Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates', Proceedings of the Aaai Conference on Artificial Intelligence, 40, pp. 31717 - 31725, http://dx.doi.org/10.1609/aaai.v40i37.40439

Argha A; Alinejad-Rokny H; Hajati F; Magdy J; Li J; Lim ZZ; Yu J; Yang M; Butcher K; Ooi SY; Lovell NH, 2026, 'ECG-Adapt: A Novel Framework for Robust Electrocardiogram Classification Across Diverse Populations and Recording Conditions', IEEE Transactions on Biomedical Engineering, pp. 1 - 12, http://dx.doi.org/10.1109/TBME.2026.3653051

Stark BA; DeCleene NK; Desai EC; Hsu JM; Johnson CO; Lara-Castor L; LeGrand KE; A PB; Aalipour MA; Aalruz H; Abafita BJ; Abaraogu UO; Abavisani M; Abbas N; Abbasi M; Abbasian M; Abbastabar H; Abd Al Magied AHA; ElHafeez SA; Abdelalim PA; Abdelfattah OM; Abdel-Hameed PR; Abdelnabi M; Wael M Abdel-Rahman P; Abdi P; Abdisa WM; Abdissa D; Abdous A; Abdullah M; Abdullahi A; Abdykerimova K; Abebe M; Abedi A; Abedi A; Abejew AA; Abhilash ES; Abiodun OO; Abiodun PO; Kasem RA; Aboagye RG; Abohashem S; Abolhassani H; Abonie US; Aborode AT; Abourashed NM; Abramov D; Abreu LG; Abtahi D; Abu Farha RK; Kende Abubakar AK; Abubakar IJ; Abu-Elala N; Abu-Gharbieh E; Abukhadijah HJ; Aburuz S; Abushanab D; Acharya AB; Acharya A; Acharya S; Achore M; Adal O; Adams LC; Adamu LH; Adão R; Addo IY; Adebayo OM; Adebisi TA; Adedia D; Adedokun KA; Adegbile OE; Adegboye OA; Adegoke NA; Adekanmbi V; Adeleke OT; Oluwaseun Adetunji C; Adeyomoye OI; Adha R; Adhikari K; Adhikary RK; Adikusuma W; Parvar TA; Adnan M; Sakilah Adnani QE; Adoma PO; Adzigbli LA; Adzrago D; Afifi AM; Afolabi HA; Afrashteh F; Afrooghe A; Afzal MS; Afzal S; Agampodi SB; Agarwal DM; Agarwal G; Agarwal P; Ageru TA; Aggarwal N; Aghajanian S; Sobrinho CA; Alinejad-Rokny H; Biswas RK; Okeke S; Haghdoost F; Burley C; Wang N; Schutte A; Sachdev P; Lin J; Si Y; Sundstorm J; Peprah P; Bhaskar S; Neal B; Feng X; Xu L; Si L; Saddik B; Ye P, 2025, 'Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990-2023', Journal of the American College of Cardiology, 86, pp. 2167 - 2243, http://dx.doi.org/10.1016/j.jacc.2025.08.015

Yu Z; Chen R; Gui P; Wang W; Razzak I; Alinejad-Rokny H; Zeng X; Shang X; Zhang L; Yang X; Yu H; Huang W; Lu H; van Wijngaarden P; He M; Zhu Z; Ge Z, 2025, 'A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning', Npj Digital Medicine, 8, http://dx.doi.org/10.1038/s41746-025-01751-7

Shamsi A; Becirovic R; Alinejad-Rokny H; Mohammadi A; Argha A, 2025, 'Gradient surgery: A necessity for robust test-time adaptation for detecting casting defects', Engineering Applications of Artificial Intelligence, 161, http://dx.doi.org/10.1016/j.engappai.2025.112039

Schumacher AE; Zheng P; Barber RM; Bhoomadevi A; Aalipour MA; Aalruz H; Ababneh HS; Abaraogu UO; Abbafati C; Abbas N; Abbasifard M; Abbaspour F; Abd Al Magied AHA; Elhafeez SA; Abdalla MA; Abdallah EM; Abdel Razeq NMI; Abdel-Hameed R; Abdel-Rahman WM; Abd-Elsalam S; Abdelwahab OA; Abdi P; Abdollahi A; Abdoun M; Abdous A; Abdulah DM; Abdulkader RS; Abdullahi A; Abdulraheem AS; Getahun HAA; Abedi P; Abedi A; Abejew AA; Zuñiga RAA; Abidi SH; Abie A; Abiodun O; Abiodun OO; Aboagye RG; Abohashem S; Abonie US; Abourashed NM; Abouzid M; Abramov D; Abreu LG; Abtahi D; Farha RKA; Abuadas FHA; Abubakar AK; Abubakar B; Abu-Gharbieh E; Abuhammad S; Abuhelwa AY; Abukhadijah HJ; Aburuz S; Abushanab D; Zaid AA; Acharya AB; Achore M; Acuna JM; Adair T; Adams LC; Adebayo OM; Adebisi TA; Adedia D; Adedokun KA; Adegbile OE; Adegoke NA; Adeleke OT; Adesina MA; Adesina IA; Adetokunboh OO; Adeyeoluwa TE; Adhana MT; Adhikari K; Adhikary RK; Adiga U; Parvar TA; Adnan M; Adnani QES; Adzigbli LA; Adzrago D; Affinito G; Afolabi AA; Afolabi RF; Afzal S; Agafari GB; Aggarwal N; Aghaalikhani M; Aghajanian S; Aghamir SMK; Agide FD; Agoi MD; Sobrinho CA; Agrawal A; Agyemang-Duah W; Ahinkorah BO; Ahmad R; Ahmad D; Ahmad F; Mitra S; Schutte A; Arnlov J; Lin J; Sachdev P; Sitas F; Feng X; Boufous S; Degenhardt L; Alinejad-Rokny H; Onie S; Biswas RK; Maulik PK; Okeke S; Haghdoost F; Peden A; Akbarialiabad H; Roehr S; Xu L; Vella A; Mitchell P; Bhaskar S; Peprah P; Saddik B; Ye P; Sheikh A, 2025, 'Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023', Lancet, 406, pp. 1731 - 1810, http://dx.doi.org/10.1016/S0140-6736(25)01330-3

Naghavi M; Kyu HH; Bhoomadevi A; Aalipour MA; Aalruz H; Ababneh HS; Abafita BJ; Abaraogu UO; Abbafati C; Abbasi M; Abbaspour F; Abbastabar H; Abd Al Magied AHA; Elhafeez SA; Abdalla AN; Abdalla MA; Abdallah EM; Abdeeq BA; Abdel Razeq NMI; Abdelgalil AA; Abdel-Hameed R; Abdelmasseh M; Abdelnabi M; Abdel-Rahman WM; Abdous A; Abdrabou MM; Aziz JMA; Abdulah DM; Abdullahi A; Abdul-Rahman T; Getahun HA; Abedi A; Abedi A; Abedi P; Abejew AA; Zuñiga RAA; Abid SUA; Abidi SH; Abie A; Abiodun OO; Aboagye RG; Abohashem S; Abolhassani H; Abonie US; Abourashed NM; Abouzid M; Abramov D; Abreu LG; Abtahi D; Farha RKA; Abuadas FHA; Abubakar AK; Abu-Elala N; Abu-Gharbieh E; Abuhammad S; Abuhelwa AY; Abukhadijah HJ; Abu-Rmeileh NME; Aburuz S; Abushanab D; Accrombessi MMK; Acharya AB; Acharya A; Adal O; Adams LC; Adamu AA; Addo IY; Adeagbo OA; Adebisi TA; Adedeji IA; Adedokun KA; Adegbile OE; Adegoke NA; Adeleke OT; Adema BG; Aden B; Adesina IA; Adesina MA; Adetunji JB; Adewuyi HO; Adeyeoluwa TE; Adhana MT; Adhikary RK; Adiga U; Parvar TA; Adnan M; Adnani QES; Adoma PO; Adzigbli LA; Adzrago D; Affinito G; Afifi AM; Afoakwah C; Afolabi AA; Afolabi RF; Afrăsânie VA; Afzal S; Agafari GB; Agampodi SB; Agampodi TC; Mitra S; Schutte A; Lin J; Sachdev P; Dai-Keller Z; Sundstorm J; Boufous S; Degenhardt L; Alinejad-Rokny H; Onie S; Maulik PK; Okeke S; Cullen P; Haghdoost F; Pesudovs K; Peden A; Keshri V; Akbarialiabad H; Roehr S; Perez Chacon G; Hunter J; Lennon M; Xu L; Song W; Mitchell P; Bhaskar S; Peprah P; Jha V; Saddik B; Ye P, 2025, 'Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023', Lancet, 406, pp. 1811 - 1872, http://dx.doi.org/10.1016/S0140-6736(25)01917-8

Farbehi N; Alinejad-Rokny H; Chtanova T; Rnjak-Kovacina J, 2025, 'Spatial and single-cell transcriptomics unravel the complex interplay between the body and medical implants', Cell Biomaterials, 1, http://dx.doi.org/10.1016/j.celbio.2025.100099

Haeuser E; Byrne S; Nguyen J; Raggi C; McLaughlin SA; Bisignano C; Harris AA; Smith AE; Lindstedt PA; Smith G; Herold SJ; Nesbit OD; Noyes T; Shalev N; Olana LT; Aalipour MA; Aalruz H; Abbasifard M; Abbaspour F; Abbastabar H; Elhafeez SA; Abdallah EM; Abdel-Hameed R; Abdelkader A; Abd-Elsalam S; Abdisa WM; Abdoun M; Abdous A; Abdulah DM; Abdullahi A; Abdullahi A; Abdul-Rahman T; Abdykerimova K; Abedi A; Abejew AA; Zuñiga RAA; Abidi SH; Abiodun O; Kasem RA; Aboagye RG; Abolhassani H; Abonie US; Aborode AT; Abourashed NM; Abouzid M; Abramov D; Abreu LG; Abtahi D; Farha RKA; Abubakar B; Abu-Gharbieh E; Abukhadijah HJ; Aburuz S; Acharya AB; Achore M; Acuna JM; Adal O; Adams LC; Adamu AA; Adebisi TA; Adedia D; Adedokun KA; Adegbile OE; Adegboye OA; Adegoke NA; Adeleke OT; Adetunji JB; Adhana MT; Adhikary RK; Adiga U; Adnan M; Adnani QES; Adoma PO; Adzigbli LA; Affinito G; Afolabi AA; Afolabi HA; Afolabi RF; Afzal S; Agampodi SB; Agarwal DM; Aghajanian S; Arriagada CEA; Agyemang-Duah W; Ahadi M; Ahmad A; Ahmad D; Ahmad K; Ahmad R; Ahmad S; Ahmad T; Ahmed A; Ahmed H; Ahmed MS; Ahmed MB; Ahmed M; Ahmed N; Ahmed SA; Ajakwe SO; Ajala DE; Lin J; Alinejad-Rokny H; Perez Chacon G; He W-Q; Peprah P; Bhaskar S; Saddik B, 2025, 'Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023', Lancet, 406, pp. 235 - 260, http://dx.doi.org/10.1016/S0140-6736(25)01037-2

Ahmadi-Dastgerdi N; Hosseini-Nejad H; Alinejad-Rokny H, 2025, 'A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems', Medical and Biological Engineering and Computing, 63, pp. 2047 - 2056, http://dx.doi.org/10.1007/s11517-025-03317-x

Wang F; Lin J; Alinejad-Rokny H; Ma W; Meng L; Huang L; Yu J; Chen N; Wang Y; Yao Z; Xie W; Wong KC; Li X, 2025, 'Unveiling Multi-Scale Architectural Features in Single-Cell Hi-C Data Using scCAFE', Advanced Science, 12, http://dx.doi.org/10.1002/advs.202416432

Du Y; Zhao Y; Li J; Wang J; You S; Zhang Y; Zhang L; Yang J; Alinejad-Rokny H; Cheng S; Shao C; Zou D; Ye Y, 2025, 'PLXDC1+ Tumor-Associated Pancreatic Stellate Cells Promote Desmoplastic and Immunosuppressive Niche in Pancreatic Ductal Adenocarcinoma', Advanced Science, 12, http://dx.doi.org/10.1002/advs.202415756

Hosseinzadeh M; Tanveer J; Rahmani AM; Alanazi A; Zaidi MM; Aurangzeb K; Alinejad-Rokny H; Porntaveetus T; Lee SW, 2025, 'A comprehensive survey of golden jacal optimization and its applications', Computer Science Review, 56, http://dx.doi.org/10.1016/j.cosrev.2025.100733

Lee SW; Tanveer J; Rahmani AM; Alinejad-Rokny H; Khoshvaght P; Zare G; Malekpour Alamdari P; Hosseinzadeh M, 2025, 'SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks', Information Fusion, 114, http://dx.doi.org/10.1016/j.inffus.2024.102684

Hansun S; Argha A; Alinejad-Rokny H; Alizadehsani R; Gorriz JM; Liaw ST; Celler BG; Marks GB, 2025, 'A New Ensemble Transfer Learning Approach with Rejection Mechanism for Tuberculosis Disease Detection', IEEE Transactions on Radiation and Plasma Medical Sciences, 9, pp. 433 - 446, http://dx.doi.org/10.1109/TRPMS.2024.3474708

Argha A; Alinejad-Rokny H; Baumgartner M; Schreier G; Celler BG; Redmond SJ; Butcher K; Ooi SY; Lovell NH, 2025, 'A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms', IEEE Transactions on Biomedical Engineering, 72, pp. 833 - 842, http://dx.doi.org/10.1109/TBME.2024.3476088

Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw ST; Celler BG; Marks GB, 2025, 'Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review', Journal of Medical Internet Research, 27, http://dx.doi.org/10.2196/69068

Zobeiri A; Rezaee A; Hajati F; Argha A; Alinejad-Rokny H, 2025, 'Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis', International Journal of Medical Informatics, 193, http://dx.doi.org/10.1016/j.ijmedinf.2024.105659

Wangsanut T; Khamto N; Alinejad-Rokny H; Pongpom M, 2025, 'Regulatory functions of AcuK and AcuM transcription factors in fungal metabolic adaptation, stress response, and virulence', Frontiers in Cellular and Infection Microbiology, 15, http://dx.doi.org/10.3389/fcimb.2025.1717070

Pushpakumara B; Becirovic R; van Dorst J; Coffey M; Halim J; Beheshti B; Argha A; Alinejad-Rokny H; Ooi C, 2025, '16 Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis', Journal of Cystic Fibrosis, 24, pp. S9 - S9, http://dx.doi.org/10.1016/s1569-1993(25)01636-4

Ahmadi-Dastgerdi N; Hosseini-Nejad H; Alinejad-Rokny H, 2024, 'A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems', International Journal of Neural Systems, 34, http://dx.doi.org/10.1142/S0129065724500679

Rahaie Z; Rabiee HR; Alinejad-Rokny H, 2024, 'CNVDeep: deep association of copy number variants with neurocognitive disorders', BMC Bioinformatics, 25, http://dx.doi.org/10.1186/s12859-024-05874-8

Hosseinzadeh M; Haider A; Malik MH; Adeli M; Mzoughi O; Gemeay E; Mohammadi M; Alinejad-Rokny H; Khoshvaght P; Porntaveetus T; Rahmani AM, 2024, 'Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies', Plos One, 19, http://dx.doi.org/10.1371/journal.pone.0316645

Truong P; Shen S; Joshi S; Islam MI; Zhong L; Raftery MJ; Afrasiabi A; Alinejad-Rokny H; Nguyen M; Zou X; Bhuyan GS; Sarowar CH; Ghodousi ES; Stonehouse O; Mohamed S; Toscan CE; Connerty P; Kakadia PM; Bohlander SK; Michie KA; Larsson J; Lock RB; Walkley CR; Thoms JAI; Jolly CJ; Pimanda JE, 2024, 'TOPORS E3 ligase mediates resistance to hypomethylating agent cytotoxicity in acute myeloid leukemia cells', Nature Communications, 15, pp. 7360, http://dx.doi.org/10.1038/s41467-024-51646-6

Sadeghi A; Hajati F; Rezaee A; Sadeghi M; Argha A; Alinejad-Rokny H, 2024, '3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection', Computers in Biology and Medicine, 182, http://dx.doi.org/10.1016/j.compbiomed.2024.109126

Abedini SS; Akhavantabasi S; Liang Y; Heng JIT; Alizadehsani R; Dehzangi I; Bauer DC; Alinejad-Rokny H, 2024, 'A critical review of the impact of candidate copy number variants on autism spectrum disorder', Mutation Research Reviews in Mutation Research, 794, http://dx.doi.org/10.1016/j.mrrev.2024.108509

Xue J; Alinejad-Rokny H; Liang K, 2024, 'Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions', Chemphysmater, 3, pp. 273 - 283, http://dx.doi.org/10.1016/j.chphma.2024.06.001

Zahedi R; Ghamsari R; Argha A; Macphillamy C; Beheshti A; Alizadehsani R; Lovell NH; Lotfollahi M; Alinejad-Rokny H, 2024, 'Deep learning in spatially resolved transcriptfomics: A comprehensive technical view', Briefings in Bioinformatics, 25, http://dx.doi.org/10.1093/bib/bbae082

Razzak I; Naz S; Alinejad-Rokny H; Nguyen TN; Khalifa F, 2024, 'A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs', IEEE ACM Transactions on Computational Biology and Bioinformatics, 21, pp. 573 - 581, http://dx.doi.org/10.1109/TCBB.2022.3219032

MacPhillamy C; Chen T; Hiendleder S; Williams JL; Alinejad-Rokny H; Low WY, 2024, 'DNA methylation analysis to differentiate reference, breed, and parent-of-origin effects in the bovine pangenome era', Gigascience, 13, http://dx.doi.org/10.1093/gigascience/giae061

Jafari M; Sadeghi D; Shoeibi A; Alinejad-Rokny H; Beheshti A; García DL; Chen Z; Acharya UR; Gorriz JM, 2024, 'Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023', Applied Intelligence, 54, pp. 35 - 79, http://dx.doi.org/10.1007/s10489-023-05155-6

Islam S; Mugdha SBS; Dipta SR; Arafat ME; Shatabda S; Alinejad-Rokny H; Dehzangi I, 2024, 'MethEvo: an accurate evolutionary information-based methylation site predictor', Neural Computing and Applications, 36, pp. 201 - 212, http://dx.doi.org/10.1007/s00521-022-07738-9

Wang F; Alinejad-Rokny H; Lin J; Gao T; Chen X; Zheng Z; Meng L; Li X; Wong KC, 2023, 'A Lightweight Framework For Chromatin Loop Detection at the Single-Cell Level', Advanced Science, 10, http://dx.doi.org/10.1002/advs.202303502

Subramanian S; Thoms JAI; Huang Y; Cornejo-Páramo P; Koch FC; Jacquelin S; Shen S; Song E; Joshi S; Brownlee C; Woll PS; Chacon-Fajardo D; Beck D; Curtis DJ; Yehson K; Antonenas V; O'Brien T; Trickett A; Powell JA; Lewis ID; Pitson SM; Gandhi MK; Lane SW; Vafaee F; Wong ES; Göttgens B; Alinejad-Rokny H; Wong JWH; Pimanda JE, 2023, 'Genome-wide transcription factor–binding maps reveal cell-specific changes in the regulatory architecture of human HSPCs', Blood, 142, pp. 1448 - 1462, http://dx.doi.org/10.1182/blood.2023021120

Shamsi A; Asgharnezhad H; Bouchani Z; Jahanian K; Saberi M; Wang X; Razzak I; Alizadehsani R; Mohammadi A; Alinejad-Rokny H, 2023, 'A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis', Neural Computing and Applications, 35, pp. 22179 - 22188, http://dx.doi.org/10.1007/s00521-023-08930-1

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